Check mathematics papers: citations, claims and retractions

A sharper Bonferroni procedure for multiple tests of significance

HOCHBERG, Y. (1988) · Biometrika

Statistical Methods in Clinical TrialsProbability and Statistical Research

Cited by 4,829

Required sample size to detect the mediated effect

Fritz, M. S., & MacKinnon, D. P. (2007) · Psychological Science

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 4,810

Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages

McNemar, Q. (1947) · Psychometrika

Survey Sampling and Estimation TechniquesProbability and Statistical Research

Cited by 4,754

Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis

Edwards, J. R., & Lambert, L. S. (2007) · Psychological Methods

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 4,711

Applied Longitudinal Analysis

Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2011) · Wiley Series in Probability and Statistics

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 4,639

An efficient method for finding the minimum of a function of several variables without calculating derivatives

Powell, M. J. D. (1964) · The Computer Journal

Advanced Optimization Algorithms ResearchMatrix Theory and Algorithms

Cited by 4,632

A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

Hale, T., Angrist, N., Goldszmidt, R., Kira, B., Petherick, A., Phillips, T., Webster, S., Cameron-Blake, E., Hallas, L., Majumdar, S., et al. (2021) · Nature Human Behaviour

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 4,578

Small sample inference for fixed effects from restricted maximum likelihood

Kenward, M. G., & Roger, J. H. (1997) · Biometrics

Statistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

Cited by 4,552

Regression discontinuity designs in economics

Lee, D. S., & Lemieux, T. (2010) · Journal of Economic Literature

Advanced Causal Inference TechniquesNames, Identity, and Discrimination Research

Cited by 4,534

On the Kolmogorov-Smirnov Test for Normality with Mean and Variance Unknown

Lilliefors, H. W. (1967) · Journal of the American Statistical Association

Statistical Distribution Estimation and ApplicationsProbability and Statistical Research

Cited by 4,530

Receiver Operating Characteristic Curve in Diagnostic Test Assessment

Mandrekar, J. N. (2010) · Journal of Thoracic Oncology

Statistical Methods in EpidemiologyImbalanced Data Classification Techniques

Cited by 4,506

Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies

Austin, P. C., & Stuart, E. A. (2015) · Statistics in Medicine

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 4,495

Probable Inference, the Law of Succession, and Statistical Inference

Wilson, E. B. (1927) · Journal of the American Statistical Association

Probability and Statistical ResearchStatistical Methods and Bayesian Inference

Cited by 4,476

Model Selection and Akaike's Information Criterion (AIC): The General Theory and its Analytical Extensions

Bozdogan, H. (1987) · Psychometrika

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 4,468

Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.

Enders, C. K., & Tofighi, D. (2007) · Psychological Methods

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 4,462

Regression Models for Ordinal Data

McCullagh, P. (1980) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and Bayesian InferenceStatistical Methods and Applications

Cited by 4,453

Cox’s regression model for counting processes: A large sample study

Andersen, P. K., & Gill, R. D. (1982) · The Annals of Statistics

Statistical Methods and InferenceProbability and Statistical Research

Cited by 4,419

Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study

Wu, J. T., Leung, K., & Leung, G. M. (2020) · The Lancet

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 4,389

MatchIt : Nonparametric Preprocessing for Parametric Causal Inference

Ho, D. E., Imai, K., King, G., & Stuart, E. A. (2011) · Journal of Statistical Software

Advanced Causal Inference TechniquesData Analysis with R

Cited by 4,385

Normality Tests for Statistical Analysis: A Guide for Non-Statisticians

Ghasemi, A., & Zahediasl, S. (2012) · International Journal of Endocrinology and Metabolism

Statistical Distribution Estimation and ApplicationsProbabilistic Statistics in Medicine

Cited by 4,368

Relaxing the Rule of Ten Events per Variable in Logistic and Cox Regression

Vittinghoff, E., & McCulloch, C. E. (2007) · American Journal of Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 4,359

Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

Breiman, L. (2001) · Statistical Science

Statistical Methods and ApplicationsStatistical Methods and Inference

Cited by 4,340

Logistic Regression in Rare Events Data

King, G., & Zeng, L. (2001) · Political Analysis

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 4,316

A generalization of sampling without replacement from a finite universe

Horvitz, D. G., & Thompson, D. J. (1952) · Journal of the American Statistical Association

Survey Sampling and Estimation TechniquesOptimal Experimental Design Methods

Cited by 4,293