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Speelman, C., & McGann, M. (2020). Statements about the Pervasiveness of Behaviour Require Data about the Pervasiveness of Behaviour [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/bxzm4
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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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COVID-19 Social Science Tracker - Google Sheets
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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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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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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/
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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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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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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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psyarxiv.com psyarxiv.com
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Parsons, Sam. ‘Reliability Multiverse’, 26 June 2020. https://doi.org/10.31234/osf.io/y6tcz.
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Chu, D. K., Akl, E. A., Duda, S., Solo, K., Yaacoub, S., Schünemann, H. J., Chu, D. K., Akl, E. A., El-harakeh, A., Bognanni, A., Lotfi, T., Loeb, M., Hajizadeh, A., Bak, A., Izcovich, A., Cuello-Garcia, C. A., Chen, C., Harris, D. J., Borowiack, E., … Schünemann, H. J. (2020). Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: A systematic review and meta-analysis. The Lancet, 0(0). https://doi.org/10.1016/S0140-6736(20)31142-9
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Ridley, M. (n.d.). Could the key to Covid be found in the Russian pandemic? Retrieved June 11, 2020, from http://www.rationaloptimist.com/blog/covid-and-the-russian-pandemic/
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Meylan, P. (2020, March 24). The Most Credible Journalists on COVID-19. The Factual. https://blog.thefactual.com/credible-journalists-covid-19
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statmodeling.stat.columbia.edu statmodeling.stat.columbia.edu
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Cinelli, M., Morales, G. D. F., Galeazzi, A., Quattrociocchi, W., & Starnini, M. (2020). Echo Chambers on Social Media: A comparative analysis. ArXiv:2004.09603 [Physics]. http://arxiv.org/abs/2004.09603
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www.sciencemag.org www.sciencemag.org
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Servick, K., EnserinkJun. 2, M., 2020, & Pm, 7:55. (2020, June 2). A mysterious company’s coronavirus papers in top medical journals may be unraveling. Science | AAAS. https://www.sciencemag.org/news/2020/06/mysterious-company-s-coronavirus-papers-top-medical-journals-may-be-unraveling
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surgisphere.com surgisphere.com
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Desai, S. (2020, May 29). Response to Widespread Reaction to Recent Lancet Article on Hydroxychloroquine. Surgisphere Corporation. https://surgisphere.com/2020/05/29/response-to-widespread-reaction-to-recent-lancet-article-on-hydroxychloroquine/
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science.sciencemag.org science.sciencemag.org
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Servick, K., & Enserink, M. (2020). The pandemic’s first major research scandal erupts. Science, 368(6495), 1041–1042. https://doi.org/10.1126/science.368.6495.1041
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www.statnews.com www.statnews.com
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says, J. C. (2020, June 4). Lancet, NEJM retract Covid-19 studies that sparked backlash. STAT. https://www.statnews.com/2020/06/04/lancet-retracts-major-covid-19-paper-that-raised-safety-concerns-about-malaria-drugs/
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journals.sagepub.com journals.sagepub.com
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Rosenbusch, H., Hilbert, L. P., Evans, A. M., & Zeelenberg, M. (2020). StatBreak: Identifying “Lucky” Data Points Through Genetic Algorithms. Advances in Methods and Practices in Psychological Science, 2515245920917950. https://doi.org/10.1177/2515245920917950
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- May 2020
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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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psyarxiv.com psyarxiv.com
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Hanel, P. H. P. (2020). Conducting High Impact Research With Limited Financial Resources (While Working From Home) [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/s3fcu
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bmcmedresmethodol.biomedcentral.com bmcmedresmethodol.biomedcentral.com
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Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping review approach. BMC Medical Research Methodology, 18(1), 143. https://doi.org/10.1186/s12874-018-0611-x
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Davey, M. (2020, May 28). Questions raised over hydroxychloroquine study which caused WHO to halt trials for Covid-19. The Guardian. https://www.theguardian.com/science/2020/may/28/questions-raised-over-hydroxychloroquine-study-which-caused-who-to-halt-trials-for-covid-19
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twitter.com twitter.com
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Jo Wood on Twitter: „Yesterday saw by far the highest ever use of London @SantanderCycles and possibly highest volume of cycling ever seen in the capital. / Twitter. (n.d.). Twitter. Retrieved May 27, 2020, from https://twitter.com/jwolondon/status/1265197657385025536
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science.sciencemag.org science.sciencemag.org
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Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., Le Strat, Y., Lessler, J., Levy-Bruhl, D., Fontanet, A., Opatowski, L., Boelle, P.-Y., & Cauchemez, S. (2020). Estimating the burden of SARS-CoV-2 in France. Science, eabc3517. https://doi.org/10.1126/science.abc3517
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science.sciencemag.org science.sciencemag.org
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Aspesi, C., & Brand, A. (2020). In pursuit of open science, open access is not enough. Science, 368(6491), 574–577. https://doi.org/10.1126/science.aba3763
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Tsitsulin, A. & Perozzi B. Understanding the Shape of Large-Scale Data. (2020 May 05). Google AI Blog. http://ai.googleblog.com/2020/05/understanding-shape-of-large-scale-data.html
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Can we count on parents to help their children learn at home? (2020, May 8). Evidence for Action. https://blogs.unicef.org/evidence-for-action/can-we-count-on-parents-to-help-their-children-learn-at-home/
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science.sciencemag.org science.sciencemag.org
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Drew, D. A., Nguyen, L. H., Steves, C. J., Menni, C., Freydin, M., Varsavsky, T., Sudre, C. H., Cardoso, M. J., Ourselin, S., Wolf, J., Spector, T. D., Chan, A. T., & Consortium§, C. (2020). Rapid implementation of mobile technology for real-time epidemiology of COVID-19. Science. https://doi.org/10.1126/science.abc0473
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Dey, S. K., Rahman, M. M., Siddiqi, U. R., & Howlader, A. (n.d.). Analyzing the epidemiological outbreak of COVID-19: A visual exploratory data analysis approach. Journal of Medical Virology, n/a(n/a). https://doi.org/10.1002/jmv.25743
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Ferres, L. (2020 April 10). COVID19 mobility reports. Leo's Blog. https://leoferres.info/blog/2020/04/10/covid19-mobility-reports/
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Modi, C., Boehm, V., Ferraro, S., Stein, G., & Seljak, U. (2020). Total COVID-19 Mortality in Italy: Excess Mortality and Age Dependence through Time-Series Analysis. MedRxiv, 2020.04.15.20067074. https://doi.org/10.1101/2020.04.15.20067074
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