Data analysis, and the parts of statistics which adhere to it, must…take on the characteristics of science rather than those of mathematics…
Is data analysis included in data science? If not, what is the relationship between them?
1,163 Matching Annotations
- Jan 2021
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www.forbes.com www.forbes.com
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www.news-medical.net www.news-medical.net
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Analysis supports phase 3 trials of Johnson & Johnson’s COVID-19 vaccine. (2021, January 17). News-Medical.Net. https://www.news-medical.net/news/20210117/Analysis-supports-phase-3-trials-of-Johnson-Johnsons-COVID-19-vaccine.aspx
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Corral. A., (2020). Scientific comment on "Tail risk of contagious diseases" Cornell University Physics and Society. Retrieved from: https://arxiv.org/abs/2007.06876
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www.apa.org www.apa.org
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Weingarten. E., Chen. Q., McAdams., Yi. J., (2016). From Primed Concepts to Action: A Meta-Analysis of the BehavioralEffects of Incidentally Presented Words. Psychological Bulletin 2016 (142) pp 472-497.
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phastar.com phastar.com
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US pharmacist who tried to ruin Covid vaccine doses is a conspiracy theorist, police say. (2021, January 5). The Guardian. http://www.theguardian.com/us-news/2021/jan/04/wisconsin-pharmacist-covid-19-vaccine-doses-steven-brandenburg
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dugontario.files.wordpress.com dugontario.files.wordpress.com
- Dec 2020
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academic.oup.com academic.oup.com
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flow cytometry data were analyzed in R using the flowCore Bioconductor package (
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www.newscientist.com www.newscientist.com
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Lawton. G. (2020) Coronavirus family tree reveals the virus is hardly mutating. New Scientist. Retrieved from: https://www.newscientist.com/article/2254387-coronavirus-family-tree-reveals-the-virus-is-hardly-mutating/?utm_medium=social&utm_campaign=echobox&utm_source=Twitter#Echobox=1600082893
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www.thelancet.com www.thelancet.com
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Voysey, M., Clemens, S. A. C., Madhi, S. A., Weckx, L. Y., Folegatti, P. M., Aley, P. K., Angus, B., Baillie, V. L., Barnabas, S. L., Bhorat, Q. E., Bibi, S., Briner, C., Cicconi, P., Collins, A. M., Colin-Jones, R., Cutland, C. L., Darton, T. C., Dheda, K., Duncan, C. J. A., … Zuidewind, P. (2020). Safety and efficacy of the ChAdOx1 nCoV-19 vaccine (AZD1222) against SARS-CoV-2: An interim analysis of four randomised controlled trials in Brazil, South Africa, and the UK. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)32661-1
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github.com github.com
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Huh, to be honest, I'd expect assigning multiple elements to the same slot to fail at compile time unless the multiples were inside mutually exclusive conditionals. If the multiples were outside statically resolvable mutually exclusive conditionals I'd expect to see a runtime error.
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ganltc.github.io ganltc.github.io
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investors.modernatx.com investors.modernatx.com
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Moderna’s COVID-19 Vaccine Candidate Meets its Primary Efficacy Endpoint in the First Interim Analysis of the Phase 3 COVE Study | Moderna, Inc. (n.d.). Retrieved 1 December 2020, from https://investors.modernatx.com/news-releases/news-release-details/modernas-covid-19-vaccine-candidate-meets-its-primary-efficacy/
Tags
- phase 3
- safety
- is:webpage
- vaccine
- study
- biotechnology
- analysis
- vaccine efficacy
- Moderna
- lang:en
- patient
- COVID-19
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URL
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- Nov 2020
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www.performancefunnels.com www.performancefunnels.com
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boardgamegeek.com boardgamegeek.com
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The final turn can bog down if players are calculating exactly what everyone’s score will be depending on which discs are chosen - better to just take what’s best for you and move on.
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psyarxiv.com psyarxiv.com
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Fischer, R., & Karl, J. (2020). Predicting behavioral intentions to prevent or mitigate COVID-19: A meta-analysis. PsyArXiv. https://doi.org/10.31234/osf.io/ek69g
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- Oct 2020
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My question to you is, what is the benefit of your definition of dirty? What superior UX does it allow you to implement?
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stats.idre.ucla.edu stats.idre.ucla.edu
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Power Analyses
Power Analyses with SPSS, R, Stata, SAS
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www.thelancet.com www.thelancet.com
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Hone, T., Mirelman, A. J., Rasella, D., Paes-Sousa, R., Barreto, M. L., Rocha, R., & Millett, C. (2019). Effect of economic recession and impact of health and social protection expenditures on adult mortality: A longitudinal analysis of 5565 Brazilian municipalities. The Lancet Global Health, 7(11), e1575–e1583. https://doi.org/10.1016/S2214-109X(19)30409-7
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The purpose of this toolkit is to familiarize the user with intellectual and developmental disabilities (I/DD) and communication techniques to assist in successfully facilitating a healthy living program for individuals with I/DD. These are suggested techniques particularly helpful for those who don’t have any experience working with individuals who have I/DD.
This toolkit can be used as a starting point for working with or developing programs that people with a developmental or intellectual disability might use. It does not go into detail but offers strategies for communication, behavior and setting learners up for success.
10/10 It is short and highly informative with free resources within it.
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hapgood.us hapgood.us
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A stunning thing that we forget, but the link here is not part of the author’s intent, but of the reader’s analysis. The majority of links in the memex are made by readers, not writers. On the world wide web of course, only an author gets to determine links.
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oro.open.ac.uk oro.open.ac.uk
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Burel, Gregoire; Farrell, Tracie; Mensio, Martino; Khare, Prashant and Alani, Harith (2020). Co-Spread of Misinformation and Fact-Checking Content during the Covid-19 Pandemic. In: Proceedings of the 12th International Social Informatics Conference (SocInfo), LNCS.
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t’s not clear why the sequence of the vaccines only mattered in girls, partly because there has been very little research into how male and female immune systems are different. “Somehow immunology has been blind to sex,” says Aaby. “If you read research about mortality in low income countries, there is no such thing as boys and girls – there are children. So we perceive that they have to be the same, and they are definitely not the same.”
Take away: "Immune training" or bystander effects from other vaccinations may help to fight off Covid-19 or other infections, in spite of not being specific to that pathogen. Some of these effects are sex-specific.
Claim: "Somehow immunology has been blind to sex"
The evidence: This is not entirely true- there is actually a LOT of research into sex differences in the immune response, and it is well-known that women can generally mount stronger Th1-type immune responses against viral infections than men. This is thought to be partially linked to estrogen cycling, and partly due to the fact that women have 2 active copies of genes associated with immunity because those are encoded on the X chromosomes. Men only have 1 copy, and thus they don't generally mount as strong an inflammatory response. However, women are also more prone to autoimmune diseases as a consequence of having stronger inflammatory responses than men, which is seen in diseases such as multiple sclerosis, rheumatoid arthritis, and lupus.
Sources: (https://www.nature.com/articles/nri.2016.90).
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arxiv.org arxiv.org
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Yuan, Yuan, Muzhi Guan, Zhilun Zhou, Sundong Kim, Meeyoung Cha, and Yong Li. ‘Disruption in the Chinese E-Commerce During COVID-19:A Case Study of the Beidian Platform’. ArXiv:2009.14605 [Physics], 22 July 2020. http://arxiv.org/abs/2009.14605.
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justintimecoder.com justintimecoder.com
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Tree-shaking is the process of analyzing the code files that are required to run your application and then including only code that is actually used by your application.
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- Sep 2020
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iriss.stanford.edu iriss.stanford.edu
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2020 Conference on Computational Sociology | IRiSS. (n.d.). Retrieved 30 September 2020, from https://iriss.stanford.edu/css/conferences/2020-conference-computational-sociology
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www-sciencedirect-com.ezproxy.neu.edu www-sciencedirect-com.ezproxy.neu.edu
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exposure limits are determined by the following equations (NIOSH, 2016):(4)ÂRAL[°C-WBGT]=59.9-14.1log10M<math><mrow is="true"><mi mathvariant="normal" is="true">R</mi><mi mathvariant="normal" is="true">A</mi><mi mathvariant="normal" is="true">L</mi><mo stretchy="false" is="true">[</mo><mi is="true">Â</mi><mi is="true">°</mi><mi mathvariant="normal" is="true">C</mi><mo is="true">-</mo><mi mathvariant="normal" is="true">W</mi><mi mathvariant="normal" is="true">B</mi><mi mathvariant="normal" is="true">G</mi><mi mathvariant="normal" is="true">T</mi><mo stretchy="false" is="true">]</mo><mo is="true">=</mo><mn is="true">59.9</mn><mo is="true">-</mo><mn is="true">14.1</mn><mi mathvariant="normal" is="true">l</mi><mi mathvariant="normal" is="true">o</mi><mi mathvariant="normal" is="true">g</mi><mn is="true">10</mn><mi mathvariant="normal" is="true">M</mi></mrow></math>(5)Â
regressional analysis of exposure limits
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erj.ersjournals.com erj.ersjournals.com
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Gupta, R. K., Marks, M., Samuels, T. H. A., Luintel, A., Rampling, T., Chowdhury, H., Quartagno, M., Nair, A., Lipman, M., Abubakar, I., Smeden, M. van, Wong, W. K., Williams, B., & Noursadeghi, M. (2020). Systematic evaluation and external validation of 22 prognostic models among hospitalised adults with COVID-19: An observational cohort study. European Respiratory Journal. https://doi.org/10.1183/13993003.03498-2020
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Cookson, C. (2020, March 24). Coronavirus may have infected half of UK population—Oxford study. https://www.ft.com/content/5ff6469a-6dd8-11ea-89df-41bea055720b
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medium.com medium.com
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Because ESM is syntax, it’s very easy to statically analyze.
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github.com github.com
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Svelte started with no decoupling anywhere, with everything available at compile-time. Then <:Component> introduced separation at the component level -- but they're still coupled at properties. The spread feature would fill that gap. I see it as an intentional separation as opposed to an accidental shot at static analysis.
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science.sciencemag.org science.sciencemag.org
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Saad-Roy, C. M., Wagner, C. E., Baker, R. E., Morris, S. E., Farrar, J., Graham, A. L., Levin, S. A., Mina, M. J., Metcalf, C. J. E., & Grenfell, B. T. (2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science. https://doi.org/10.1126/science.abd7343
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psyarxiv.com psyarxiv.com
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Karwowski, M., Zielinska, A., Jankowska, D., Strutynska, E., Omelanczuk, I., & Lebuda, I. (2020). Creative Lockdown? A Daily Diary Study of Creative Activity During Pandemics. 10.31234/osf.io/kvesm
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academic.oup.com academic.oup.com
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Offeddu, V., Yung, C. F., Low, M. S. F., & Tam, C. C. (2017). Effectiveness of Masks and Respirators Against Respiratory Infections in Healthcare Workers: A Systematic Review and Meta-Analysis. Clinical Infectious Diseases, 65(11), 1934–1942. https://doi.org/10.1093/cid/cix681
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github.com github.com
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The static analysis considerations make things like hero.enemies.map(...) a non-starter — the reason Svelte is able to beat most frameworks in benchmarks is that the compiler has a deep understanding of a component's structure, which becomes impossible when you allow constructs like that.
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www.imperial.ac.uk www.imperial.ac.uk
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COVID-19 reports. (n.d.). Imperial College London. Retrieved September 17, 2020, from http://www.imperial.ac.uk/medicine/departments/school-public-health/infectious-disease-epidemiology/mrc-global-infectious-disease-analysis/covid-19/covid-19-reports/
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psycnet.apa.org psycnet.apa.org
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Moreau, D., & Gamble, B. (2020). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/met0000351
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Bax, A., Bax, C. E., Stadnytskyi, V., & Anfinrud, P. (2020). SARS-CoV-2 transmission via speech-generated respiratory droplets. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30726-X
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Siemieniuk, R. A., Bartoszko, J. J., Ge, L., Zeraatkar, D., Izcovich, A., Kum, E., Pardo-Hernandez, H., Rochwerg, B., Lamontagne, F., Han, M. A., Liu, Q., Agarwal, A., Agoritsas, T., Chu, D. K., Couban, R., Darzi, A., Devji, T., Fang, B., Fang, C., … Brignardello-Petersen, R. (2020). Drug treatments for covid-19: Living systematic review and network meta-analysis. BMJ, 370. https://doi.org/10.1136/bmj.m2980
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psyarxiv.com psyarxiv.com
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Rajkumar, R. P. (2020). Novel Coronavirus Disease (COVID-19) and Suicide: Conceptual and Practical Considerations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/z7drs
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psyarxiv.com psyarxiv.com
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Schnuerch, M., Nadarevic, L., & Rouder, J. (2020). The truth revisited: Bayesian analysis of individual differences in the truth effect [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/nfm6k
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www.medrxiv.org www.medrxiv.org
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Team, I. C.-19 F., & Hay, S. I. (2020). COVID-19 scenarios for the United States. MedRxiv, 2020.07.12.20151191. https://doi.org/10.1101/2020.07.12.20151191
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github.com github.com
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Codecheckers/covid-uk. (2020). [R]. CODECHECK. https://github.com/codecheckers/covid-uk (Original work published 2020)
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Sixth Report. (2020, June 19). COVID-19 Mobility Monitoring Project. https://covid19mm.github.io//in-progress/2020/06/19/sixth-report.html
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Perez, M. (n.d.). 55% Of U.S. Coronavirus Cases In CDC Analysis Are Black And Hispanic. Forbes. Retrieved June 28, 2020, from https://www.forbes.com/sites/mattperez/2020/06/15/55-of-us-coronavirus-cases-in-cdc-analysis-are-black-and-hispanic/
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Marshall, M. (n.d.). Scotland could eliminate the coronavirus – if it weren’t for England. New Scientist. Retrieved July 2, 2020, from https://www.newscientist.com/article/2247462-scotland-could-eliminate-the-coronavirus-if-it-werent-for-england/
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What Happens to Public Space When Everything Moves Outside. (2020, June 29). Bloomberg.Com. https://www.bloomberg.com/news/features/2020-06-29/what-happens-to-public-space-when-everything-moves-outside
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slate.com slate.com
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Sudhir, A. (2020, July 1). The Medical Case for Reopening Schools. Slate Magazine. https://slate.com/technology/2020/07/school-reopening-medical-case.html
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Liu, Y., Finch, B. K., Brenneke, S. G., Thomas, K., & Le, P. D. (2020). Perceived Discrimination and Mental Distress Amid the COVID-19 Pandemic: Evidence From the Understanding America Study. American Journal of Preventive Medicine, 0(0). https://doi.org/10.1016/j.amepre.2020.06.007
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Ip, A., Ahn, J., Zhou, Y., Goy, A. H., Hansen, E., Pecora, A. L., Sinclaire, B. A., Bednarz, U., Marafelias, M., Mathura, S., Sawczuk, I. S., Underwood, J. P., Walker, D. M., Prasad, R., Sweeney, R. L., Ponce, M. G., LaCapra, S., Cunningham, F. J., Calise, A. G., … Goldberg, S. L. (2020). Hydroxychloroquine in the treatment of outpatients with mildly symptomatic COVID-19: A multi-center observational study. MedRxiv, 2020.08.20.20178772. https://doi.org/10.1101/2020.08.20.20178772
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Scott, S., Rivera, K., Rushing, E., Manczak, E., Rozek, C. S., & Doom, J. (2020). “I hate this”: A qualitative analysis of adolescents’ self-reported challenges during the COVID-19 pandemic [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/4ctb7
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Ali, A. (2020, August 28). Visualizing the Social Media Universe in 2020. Visual Capitalist. https://www.visualcapitalist.com/visualizing-the-social-media-universe-in-2020/
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Carmona, H. A., de Noronha, A. W. T., Moreira, A. A., Araujo, N. A. M., & Andrade Jr, J. S. (2020). Cracking urban mobility. ArXiv:2008.13644 [Cond-Mat, Physics:Physics]. http://arxiv.org/abs/2008.13644
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- Aug 2020
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Chaudhry, R., Dranitsaris, G., Mubashir, T., Bartoszko, J., & Riazi, S. (2020). A country level analysis measuring the impact of government actions, country preparedness and socioeconomic factors on COVID-19 mortality and related health outcomes. EClinicalMedicine, 0(0). https://doi.org/10.1016/j.eclinm.2020.100464
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Begum, M. R., Khan, S. I., Banna, H. A., Kundu, S., Hossen, M., Sayeed, A., Christopher, E., Hasan, M. T., Saba, S., & Shamsuzzoha. (2020). Mental health difficulties of adults with COVID-19-like symptoms in Bangladesh: A case control-study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/ubwxv
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Lozano, R., Fullman, N., Mumford, J. E., Knight, M., Barthelemy, C. M., Abbafati, C., Abbastabar, H., Abd-Allah, F., Abdollahi, M., Abedi, A., Abolhassani, H., Abosetugn, A. E., Abreu, L. G., Abrigo, M. R. M., Haimed, A. K. A., Abushouk, A. I., Adabi, M., Adebayo, O. M., Adekanmbi, V., … Murray, C. J. L. (2020). Measuring universal health coverage based on an index of effective coverage of health services in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)30750-9
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Smith, C. F., Drew, S., Ziebland, S., & Nicholson, B. D. (2020). Understanding the role of GPs’ gut feelings in diagnosing cancer in primary care: A systematic review and meta-analysis of existing evidence. British Journal of General Practice, 70(698), e612–e621. https://doi.org/10.3399/bjgp20X712301
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Jarynowski, A., & Płatek, D. (2020). Could Ramadan catalyze or inhibit SARS-CoV-2 spread? Preliminary results [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/725dv
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Starnini, M., Aleta, A., Tizzoni, M., & Moreno, Y. (2020). Impact of the accuracy of case-based surveillance data on the estimation of time-varying reproduction numbers. MedRxiv, 2020.06.26.20140871. https://doi.org/10.1101/2020.06.26.20140871
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Landgrave, M. (2020). How Do Legislators Value Constituent’s (Statistical) Lives? COVID-19, Partisanship, and Value of a Statistical Life Analysis. https://doi.org/10.31235/osf.io/n93w2
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Hohn, R. E., Slaney, K. L., & Tafreshi, D. (2020). An Empirical Review of Research and Reporting Practices in Psychological Meta-Analyses. Review of General Psychology, 1089268020918844. https://doi.org/10.1177/1089268020918844
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Moreau, D., & Gamble, B. (2020). Conducting a Meta-Analysis in the Age of Open Science: Tools, Tips, and Practical Recommendations [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/t5dwg
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Hogan, A. B., Jewell, B. L., Sherrard-Smith, E., Vesga, J. F., Watson, O. J., Whittaker, C., Hamlet, A., Smith, J. A., Winskill, P., Verity, R., Baguelin, M., Lees, J. A., Whittles, L. K., Ainslie, K. E. C., Bhatt, S., Boonyasiri, A., Brazeau, N. F., Cattarino, L., Cooper, L. V., … Hallett, T. B. (2020). Potential impact of the COVID-19 pandemic on HIV, tuberculosis, and malaria in low-income and middle-income countries: A modelling study. The Lancet Global Health, 0(0). https://doi.org/10.1016/S2214-109X(20)30288-6
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Alipio, M. (2020). Do socio-economic indicators associate with COVID-2019 cases? Findings from a Philippine study [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/e2hfa
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Benitez, J. A., Courtemanche, C. J., & Yelowitz, A. (2020). Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities (Working Paper No. 27592; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27592
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Consiglio, C. R., Cotugno, N., Sardh, F., Pou, C., Amodio, D., Zicari, S., Ruggiero, A., Pascucci, G. R., Rodriguez, L., Santilli, V., Tan, Z., Eriksson, D., Wang, J., Lakshmikanth, T., Marchesi, A., Lakshmikanth, T., Campana, A., Villani, A., Rossi, P., … Brodin, P. (2020). The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19. MedRxiv, 2020.07.08.20148353. https://doi.org/10.1101/2020.07.08.20148353
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Koren, M. (2020, April 2). The Pandemic Is Turning the Natural World Upside Down. The Atlantic. https://www.theatlantic.com/science/archive/2020/04/coronavirus-pandemic-earth-pollution-noise/609316/
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Ballard, Timothy, Ashley Luckman, and Emmanouil Konstantinidis. ‘How Meaningful Are Parameter Estimates from Models of Inter-Temporal Choice?’, 21 August 2020. https://doi.org/10.31234/osf.io/mvk67.
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Levin, A. T., Cochran, K. B., & Walsh, S. P. (2020). Assessing the Age Specificity of Infection Fatality Rates for COVID-19: Meta-Analysis & Public Policy Implications (Working Paper No. 27597; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27597
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Shahal, S., Wurzberg, A., Sibony, I., Duadi, H., Shniderman, E., Weymouth, D., Davidson, N., & Fridman, M. (2020). Synchronization of complex human networks. Nature Communications, 11(1), 3854. https://doi.org/10.1038/s41467-020-17540-7
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Razin, A., Sadka, E., & Schwemmer, A. H. (2020). DEglobalizaion and Social Safety Nets in Post-Covid-19 Era: Textbook Macroeconomic Analysis (Working Paper No. 27239; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27239
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McLaughlin, Patrick A, and Casey B Mulligan. ‘Three Myths about Federal Regulation’. Working Paper. Working Paper Series. National Bureau of Economic Research, May 2020. https://doi.org/10.3386/w27233.
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Chen, M. K., Chevalier, J. A., & Long, E. F. (2020). Nursing Home Staff Networks and COVID-19 (Working Paper No. 27608; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27608
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Social Stability Challenged: Pandemics, Inequality and Policy Responses. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved August 5, 2020, from https://covid-19.iza.org/publications/dp13249/
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Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market. COVID-19 and the Labor Market. (n.d.). IZA – Institute of Labor Economics. Retrieved July 27, 2020, from https://covid-19.iza.org/publications/dp13516/
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Dave, D. M., Friedson, A. I., Matsuzawa, K., & Sabia, J. J. (2020). When Do Shelter-in-Place Orders Fight COVID-19 Best? Policy Heterogeneity Across States and Adoption Time (Working Paper No. 27091; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27091
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Alfaro, L., Becerra, O., & Eslava, M. (2020). EMEs and COVID-19: Shutting Down in a World of Informal and Tiny Firms (Working Paper No. 27360; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27360
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Pastor, L., & Vorsatz, M. B. (2020). Mutual Fund Performance and Flows During the COVID-19 Crisis (Working Paper No. 27551; Working Paper Series). National Bureau of Economic Research. https://doi.org/10.3386/w27551
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Starominski-Uehara, M. (2020). Brief Communication Analysis of Brazilian Presidency during COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jr7eq
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Motta, M., Stecula, D., & Farhart, C. E. (2020). How Right-Leaning Media Coverage of COVID-19 Facilitated the Spread of Misinformation in the Early Stages of the Pandemic [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/a8r3p
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Pârvulescu, R. A. (2020). Engineering Your Judiciary, or How the COVID Crisis Won’t Go To Waste. https://doi.org/10.31235/osf.io/yrtfb
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Kubinec, R., & Carvalho, L. (2020). A Retrospective Bayesian Model for Measuring Covariate Effects on Observed COVID-19 Test and Case Counts [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jp4wk
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Krumpal, I. (2020). Soziologie in Zeiten der Pandemie [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yqdsu
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docs.google.com docs.google.com
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COVID-19 Social Science Tracker - Google Sheets
Tags
- community
- spreadsheet
- international
- infection
- social norm
- sheets
- social distancing
- social media
- mental health
- analysis
- misinformation
- social science
- isolation
- preprint
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- unofficial
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- is:other
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- healthcare
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- tracker
- lang:en
- COVID-19
- government
Annotators
URL
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www.sg.uu.nl www.sg.uu.nl
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Dr. Maarten van Smeden (2020, May 11). Understanding the statistics of the coronavirus. Universiteit Utrecht. https://www.sg.uu.nl/video/2020/06/understanding-statistics-coronavirus
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osf.io osf.io
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Mikolai, J., Keenan, K., & Kulu, H. (2020). Household level health and socio-economic vulnerabilities and the COVID-19 crisis: An analysis from the UK [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4wtz8
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Basu, A., Roy, A., Hazra, A. K., & Pramanick, K. (2020). Analysis of youths’ perspective in India on and during the pandemic of Covid-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/4qhgd
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osf.io osf.io
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Payne, J. L., & Morgan, A. (2020). COVID-19 and Violent Crime: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/g4kh7
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osf.io osf.io
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Rice, W. L., Mateer, T., Taff, B. D., Lawhon, B., Reigner, N., & Newman, P. (2020). The COVID-19 pandemic continues to change the way people recreate outdoors: A second preliminary report on a national survey of outdoor enthusiasts amid the COVID-19 pandemic. https://doi.org/10.31235/osf.io/dghba
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osf.io osf.io
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Payne, J. L., & Morgan, A. (2020). Property Crime during the COVID-19 Pandemic: A comparison of recorded offence rates and dynamic forecasts (ARIMA) for March 2020 in Queensland, Australia [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/de9nc
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Sehgal, D. (2020). Analysis of Vaccines to tackle COVID-19 with Patent Review [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/q96wj
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bahri, muhamad. (2020). The nexus impacts of the Covid-19: A qualitative perspective [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/yj8c9
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psyarxiv.com psyarxiv.com
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Bernard, P., St-Amour, S., Lachance, Kingsbury, C., & Lapointe. (2020). Dynamic patterns of depressive symptoms and sleep during the first month of strict lockdown in two women with major depressive disorder [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5enrq
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Gleeson, J. P., Onaga, T., Fennell, P., Cotter, J., Burke, R., & O’Sullivan, D. J. P. (2020). Branching process descriptions of information cascades on Twitter. ArXiv:2007.08916 [Physics]. http://arxiv.org/abs/2007.08916
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psyarxiv.com psyarxiv.com
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Ahn, M. H., Shin, Y. W., Kim, J. H., Kim, H. J., Lee, K.-U., & Chung, S. (2020). High Work-related Stress and Anxiety Response to COVID-19 among Healthcare Workers in South Korea: SAVE study [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/9nxth
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www.thelancet.com www.thelancet.com
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Peeling, Rosanna W., Catherine J. Wedderburn, Patricia J. Garcia, Debrah Boeras, Noah Fongwen, John Nkengasong, Amadou Sall, Amilcar Tanuri, and David L. Heymann. ‘Serology Testing in the COVID-19 Pandemic Response’. The Lancet Infectious Diseases 0, no. 0 (17 July 2020). https://doi.org/10.1016/S1473-3099(20)30517-X.
Tags
- community
- international solidarity
- control programmes
- viral infectivity
- global cooperation
- serology testing
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- is:report
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- commercially available
- serology
- immune response
- surveillance
- molecular diagnostics
- rapid serology tests
- lang:en
- public health
- rapid immunodiagnostic tests
- COVID-19
- situational analysis
Annotators
URL
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www.nationalgeographic.com www.nationalgeographic.com
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How scientists know COVID-19 is way deadlier than the flu. (2020, July 2). Science. https://www.nationalgeographic.com/science/2020/07/coronavirus-deadlier-than-many-believed-infection-fatality-rate-cvd/
Tags
- data analysis
- epidemiology
- concern
- research
- clarity
- potential
- is:news
- lethality
- science
- transmission
- USA
- potency
- lang:en
- COVID-19
- case increase
Annotators
URL
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twitter.com twitter.com
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Ed Conway on Twitter: “Breaking: UK government was routinely overstating the total number of people who’d been tested for #COVID19 by as many as 200,000 at the height of the coronavirus pandemic, according to new Sky News analysis.” / Twitter. (n.d.). Twitter. Retrieved July 17, 2020, from https://twitter.com/EdConwaySky/status/1281652670000844800
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Bae, J.-M. (2014). The clinical decision analysis using decision tree. Epidemiology and Health, 36. https://doi.org/10.4178/epih/e2014025
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Garmendia, A., & Alfonso, S. L. (2020). Popular Reactions To External Threats in Federations. https://doi.org/10.31235/osf.io/qyjtm
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Richards, A. D. (2020). Ethical Guidelines for Deliberately Infecting Volunteers with COVID-19 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/jb7gq
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osf.io osf.io
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Rosati, G., Domenech, L., Chazarreta, A., & Maguire, T. (2020). Capturing and analyzing social representations. A first application of Natural Language Processing techniques to reader’s comments in COVID-19 news. Argentina, 2020 [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/3pcdu
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Pensando a Pandemia: Tópicos em Filosofia da Mente e Psicologia. (2020, July 2). https://www.youtube.com/watch?v=CiVz0q5oRK8
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osf.io osf.io
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Weed, M. (2020). Models and methods to analyse the interaction of evidence and policy in the first 100 days of the UK government’s response to COVID-19 (v1.1). https://doi.org/10.31235/osf.io/f73u4
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Brooks, H. Z., Kanjanasaratool, U., Kureh, Y. H., & Porter, M. A. (2020). Disease Detectives: Using Mathematics to Forecast the Spread of Infectious Diseases [Preprint]. SocArXiv. https://doi.org/10.31235/osf.io/mvn9z
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osf.io osf.io
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Leiserowitz, A., Maibach, E., Rosenthal, S. A., Kotcher, J., Bergquist, P., Ballew, M. T., Goldberg, M. H., Gustafson, A., & Wang, X. (2020). Climate change in the American Mind: April 2020 [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/8439q
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academic.oup.com academic.oup.com
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Lighter, J., Phillips, M., Hochman, S., Sterling, S., Johnson, D., Francois, F., & Stachel, A. (n.d.). Obesity in Patients Younger Than 60 Years Is a Risk Factor for COVID-19 Hospital Admission. Clinical Infectious Diseases. https://doi.org/10.1093/cid/ciaa415
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osf.io osf.io
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Lyttelton, T., Zang, E., & Musick, K. (2020). Gender Differences in Telecommuting and Implications for Inequality at Home and Work. https://doi.org/10.31235/osf.io/tdf8c
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critical-analysis.org critical-analysis.org
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Project background – Critical Analysis Project. (n.d.). Retrieved July 10, 2020, from http://critical-analysis.org/project-background/
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Jha, R. (n.d.). Sweden’s ‘Soft’ COVID19 Strategy: An Appraisal. ORF. Retrieved July 9, 2020, from https://www.orfonline.org/research/swedens-soft-covid19-strategy-an-appraisal-69291/
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Meyer, B., Torriani, G., Yerly, S., Mazza, L., Calame, A., Arm-Vernez, I., Zimmer, G., Agoritsas, T., Stirnemann, J., Spechbach, H., Guessous, I., Stringhini, S., Pugin, J., Roux-Lombard, P., Fontao, L., Siegrist, C.-A., Eckerle, I., Vuilleumier, N., & Kaiser, L. (2020). Validation of a commercially available SARS-CoV-2 serological immunoassay. Clinical Microbiology and Infection, 0(0). https://doi.org/10.1016/j.cmi.2020.06.024
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Su, Q., Hu, J., Lin, H., Zhang, Z., Zhu, E. C., Zhang, C., Wang, D., Gao, Z., & Cao, B. (2020). Prevalence and risks of severe events for cancer patients with COVID-19 infection: A systematic review and meta-analysis. MedRxiv, 2020.06.23.20136200. https://doi.org/10.1101/2020.06.23.20136200
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Olsson-Collentine, A., van Assen, M. A. L. M., & Wicherts, J. M. (2020). Postprint—Heterogeneity in direct replications in psychology and its association with effect size [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/m23v4
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Du, H., Jiang, G., & Ke, Z. (2020). A Bootstrap Based Between-Study Heterogeneity Test in Meta-Analysis [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/de4g9
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Rahman, M., Ali, G. G. M. N., Li, X. J., Paul, K. C., & Chong, P. H. J. (2020). Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fz4ry
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Edgcumbe, D. (2020). PrePrint Version (Edgcumbe, 2020): The developmental trajectory of open-mindedness: from 18 to 87-years of age. [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/fnrmv
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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Altmann, E. G. (2020). Spatial interactions in urban scaling laws. ArXiv:2006.14140 [Physics]. http://arxiv.org/abs/2006.14140
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twitter.com twitter.com
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🔥Kareem Carr🔥 on Twitter: “I want to talk about bugs in statistical analyses. I think many data analysts worry unnecessarily about this. I do think it’s important to put a good faith effort into avoiding bugs, but I know data analysts that live in terror of hearing there’s a bug in published work. 1/6” / Twitter. (n.d.). Twitter. Retrieved May 30, 2020, from https://twitter.com/kareem_carr/status/1266029701392412673
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Verity, R., Okell, L., Dorigatti, I., Winskill, P., Whittaker, C., Walker, P., Donnelly, C., Ferguson, N., & Ghani, A. (2020). COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply. The Lancet Infectious Diseases, 0(0). https://doi.org/10.1016/S1473-3099(20)30443-6
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