Check mathematics papers: citations, claims and retractions

On the estimation of additive interaction by use of the four-by-two table and beyond

Zou, G. Y. (2008) · American Journal of Epidemiology

Statistical Methods in EpidemiologyGenetic Associations and Epidemiology

Cited by 274

Trends in racial and ethnic disparities in COVID-19 hospitalizations, by region - United States, March-December 2020

Romano, S. D., Blackstock, A. J., Taylor, E. V., El Burai Felix, S., Adjei, S., Singleton, C.-M., Fuld, J., Bruce, B. B., & Boehmer, T. K. (2021) · MMWR Morbidity and Mortality Weekly Report

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 273

Good Enough: A Primer on the Analysis and Interpretation of Noninferiority Trials

Kaul, S., & Diamond, G. A. (2006) · Annals of Internal Medicine

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 272

Approximations of the Target-Mediated Drug Disposition Model and Identifiability of Model Parameters

Gibiansky, L., Gibiansky, E., Kakkar, T., & Ma, P. (2008) · Journal of Pharmacokinetics and Pharmacodynamics

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 272

Randomization in clinical trials: Conclusions and recommendations

Lachin, J. M., Matts, J. P., & Wei, L. J. (1988) · Controlled Clinical Trials

Statistical Methods in Clinical TrialsOptimal Experimental Design Methods

Cited by 272

Recommendations for straightforward and rigorous methods of counting neurons based on a computer simulation approach

Schmitz, C., & Hof, P. R. (2000) · Journal of Chemical Neuroanatomy

Point processes and geometric inequalitiesCell Image Analysis Techniques

Cited by 272

A novel measure of effect size for mediation analysis

Lachowicz, M. J., Preacher, K. J., & Kelley, K. (2018) · Psychological Methods

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 271

Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals

Leisman, D. E., Harhay, M. O., Lederer, D. J., Abramson, M., Adjei, A. A., Bakker, J., Ballas, Z. K., Barreiro, E., Bell, S. C., Bellomo, R., et al. (2020) · Critical Care Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 271

An application of an urn model to the design of sequential controlled clinical trials.

Wei, L. J. (1978) · Journal of the American Statistical Association

Statistical Methods in Clinical TrialsOptimal Experimental Design Methods

Cited by 271

Internal and External Effects of Social Distancing in a Pandemic

Farboodi, M., Jarosch, G., & Shimer, R. (2020) · National Bureau of Economic Research

COVID-19 epidemiological studiesCOVID-19 Pandemic Impacts

Cited by 270

Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable

Austin, P. C., & Steyerberg, E. W. (2012) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 270

How to design efficient cluster randomised trials

Hemming, K., Eldridge, S., Forbes, G., Weijer, C., & Taljaard, M. (2017) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 270

Matching and Regression to the Mean in Difference‐in‐Differences Analysis

Daw, J. R., & Hatfield, L. A. (2018) · Health Services Research

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 270

Generalizing Study Results: A Potential Outcomes Perspective

Lesko, C. R., Buchanan, A. L., Westreich, D., Edwards, J. K., Hudgens, M. G., & Cole, S. R. (2017) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 269

Missing data is poorly handled and reported in prediction model studies using machine learning: A literature review

Nijman, S., Leeuwenberg, A., Beekers, I., Verkouter, I., Jacobs, J., Bots, M., Asselbergs, F., Moons, K., & Debray, T. (2022) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceArtificial Intelligence in Healthcare

Cited by 269

Estimation in Parallel Randomized Experiments

Rubin, D. B. (1981) · Journal of Educational Statistics

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 269

Systematic review of empirical studies comparing the effectiveness of non-pharmaceutical interventions against COVID-19

Mendez-Brito, A., El Bcheraoui, C., & Pozo-Martin, F. (2021) · Journal of Infection

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 269

Multiridge detection and time-frequency reconstruction

Carmona, R. A., Hwang, W. L., & Torresani, B. (1999) · IEEE Transactions on Signal Processing

Mathematical Analysis and Transform MethodsSparse and Compressive Sensing Techniques

Cited by 269

Zero‐inflated models for regression analysis of count data: a study of growth and development

Cheung, Y. B. (2002) · Statistics in Medicine

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 268

On the definition of a confounder

VanderWeele, T. J., & Shpitser, I. (2013) · The Annals of Statistics

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 268

Reasons for Testing Mediation in the Absence of an Intervention Effect: A Research Imperative in Prevention and Intervention Research

O’Rourke, H. P., & MacKinnon, D. P. (2018) · Journal of Studies on Alcohol and Drugs

Advanced Causal Inference TechniquesSubstance Abuse Treatment and Outcomes

Cited by 268

A Cautionary Note on the Use of the Kolmogorov–Smirnov Test for Normality

Steinskog, D. J., Tjøstheim, D. B., & Kvamstø, N. G. (2007) · Monthly Weather Review

Statistical Distribution Estimation and ApplicationsProbability and Statistical Research

Cited by 267

Bayesian benefits with JASP

Marsman, M., & Wagenmakers, E.-J. (2017) · European Journal of Developmental Psychology

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 267

That’s a Lot to Process! Pitfalls of Popular Path Models

Rohrer, J. M., Hünermund, P., Arslan, R. C., & Elson, M. (2022) · Advances in Methods and Practices in Psychological Science

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 267