Most cited mathematics papers
- Verified
Timing of State and Territorial COVID-19 Stay-at-Home Orders and Changes in Population Movement — United States, March 1–May 31, 2020
Moreland, A., Herlihy, C., Tynan, M. A., Sunshine, G., McCord, R. F., Hilton, C., Poovey, J., Werner, A. K., Jones, C. D., Fulmer, E. B., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 614
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Regression and Other Stories
Gelman, A., Hill, J., & Vehtari, A. (2020) · Cambridge University Press eBooks
Statistical Methods and Bayesian InferenceStatistical Methods and Applications
Cited by 613
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Consistency of random forests
Scornet, E., Biau, G., & Vert, J.-P. (2015) · The Annals of Statistics
Statistical Methods and InferenceStatistical Methods and Applications
Cited by 612
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Regression, Prediction and Shrinkage
Copas, J. B. (1983) · Journal of the Royal Statistical Society Series B: Statistical Methodology
Statistical Methods and InferenceAdvanced Statistical Methods and Models
Cited by 612
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A simple formula for the calculation of sample size in pilot studies
Viechtbauer, W., Smits, L., Kotz, D., Budé, L., Spigt, M., Serroyen, J., & Crutzen, R. (2015) · Journal of Clinical Epidemiology
Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials
Cited by 612
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Internal and external validation of predictive models: A simulation study of bias and precision in small samples
Steyerberg, E. W., Bleeker, S. E., Moll, H. A., Grobbee, D. E., & Moons, K. G. M. (2003) · Journal of Clinical Epidemiology
Statistical Methods in EpidemiologyStatistical Methods and Inference
Cited by 611
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Exact and Approximate Stepdown Methods for Multiple Hypothesis Testing
Romano, J. P., & Wolf, M. (2005) · Journal of the American Statistical Association
Statistical Methods in Clinical TrialsStatistical Methods and Inference
Cited by 609
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Partisan differences in physical distancing are linked to health outcomes during the COVID-19 pandemic
Gollwitzer, A., Martel, C., Brady, W. J., Pärnamets, P., Freedman, I. G., Knowles, E. D., & Van Bavel, J. J. (2020) · Nature Human Behaviour
COVID-19 epidemiological studiesCommunication and COVID-19 Impact
Cited by 609
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A Conceptual Framework for Adaptive Preventive Interventions
Collins, L. M., Murphy, S. A., & Bierman, K. L. (2004) · Prevention Science
Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials
Cited by 608
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Little’s test of missing completely at random
Li, C. (2013) · The Stata Journal: Promoting communications on statistics and Stata
Statistical Methods and Bayesian InferenceStatistical Methods and Applications
Cited by 608
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Statistical Power, Sample Size, and Their Reporting in Randomized Controlled Trials
Moher, D. (1994) · JAMA: The Journal of the American Medical Association
Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews
Cited by 608
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Revisiting event study designs: robust and efficient estimation
(2022) · arXiv (preprint)
Advanced Causal Inference TechniquesMonetary Policy and Economic Impact
Cited by 607
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The Clinician's Illusion
Cohen, P. (1984) · Archives of General Psychiatry
Statistical Methods in EpidemiologyMeta-analysis and systematic reviews
Cited by 607
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Sample sizes for clinical trials with normal data.
Julious, S. A. (2004) · Statistics in Medicine
Statistical Methods in Clinical TrialsProbability and Statistical Research
Cited by 605
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Generalizing Observational Study Results: Applying Propensity Score Methods to Complex Surveys
DuGoff, E. H., Schuler, M., & Stuart, E. A. (2014) · Health Services Research
Advanced Causal Inference TechniquesStatistical Methods in Epidemiology
Cited by 605
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Struggles with Survey Weighting and Regression Modeling
Gelman, A. (2007) · Statistical Science
Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse
Cited by 604
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A reflective Newton method for minimizing a quadratic function subject to bounds on some of the variables.
Coleman, T. F., & Li, Y. (1996) · SIAM Journal on Optimization
Advanced Optimization Algorithms ResearchMatrix Theory and Algorithms
Cited by 604
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Three conditions under which experiments and observational studies produce comparable causal estimates: New findings from within‐study comparisons
Cook, T. D., Shadish, W. R., & Wong, V. C. (2008) · Journal of Policy Analysis and Management
Advanced Causal Inference TechniquesEvaluation and Performance Assessment
Cited by 604
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A comparison of Bayesian and likelihood-based methods for fitting multilevel models
Browne, W. J., & Draper, D. (2006) · Bayesian Analysis
Statistical Methods and Bayesian InferenceMarkov Chains and Monte Carlo Methods
Cited by 603
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Simulation-Based Power Analysis for Factorial Analysis of Variance Designs
Lakens, D., & Caldwell, A. R. (2021) · Advances in Methods and Practices in Psychological Science
Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials
Cited by 602
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Inference on Counterfactual Distributions
Chernozhukov, V., Fernández‐Val, I., & Melly, B. (2013) · Econometrica
Advanced Causal Inference TechniquesStatistical Methods and Inference
Cited by 601
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How much loss to follow-up is acceptable in long-term randomised trials and prospective studies?
Fewtrell, M. S., Kennedy, K., Singhal, A., Martin, R. M., Ness, A., Hadders-Algra, M., Koletzko, B., & Lucas, A. (2008) · Archives of Disease in Childhood
Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology
Cited by 601
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Physical distancing interventions and incidence of coronavirus disease 2019: natural experiment in 149 countries
Islam, N., Sharp, S. J., Chowell, G., Shabnam, S., Kawachi, I., Lacey, B., Massaro, J. M., D’Agostino, R. B., & White, M. (2020) · BMJ
COVID-19 epidemiological studiesCOVID-19 Prevention and Impact
Cited by 601
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How and why criteria defining moderators and mediators differ between the Baron & Kenny and MacArthur approaches.
Chmura Kraemer, H., Kiernan, M., Essex, M., & Kupfer, D. J. (2008) · Health Psychology
Advanced Causal Inference TechniquesMeta-analysis and systematic reviews
Cited by 600
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