Check mathematics papers: citations, claims and retractions

Robust nonparametric confidence intervals for regression-discontinuity designs

Calonico, S., Cattaneo, M. D., & Titiunik, R. (2014) · Econometrica

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 3,036

When to use the B onferroni correction

Armstrong, R. A. (2014) · Ophthalmic and Physiological Optics

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 3,031

Simple means to improve the interpretability of regression coefficients

Schielzeth, H. (2010) · Methods in Ecology and Evolution

Statistical Methods and ApplicationsAdvanced Statistical Methods and Models

Cited by 3,027

Information bias in health research: definition, pitfalls, and adjustment methods

Althubaiti, A. (2016) · Journal of Multidisciplinary Healthcare

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 3,018

Advanced Bayesian Multilevel Modeling with the R Package brms

Bürkner, P.-C. (2018) · The R Journal

Statistical Methods and Bayesian InferenceData Analysis with R

Cited by 3,015

Introducing Multilevel Modeling

Kreft, I., & de Leeuw, J. (1998) · SAGE Publications Ltd eBooks

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 2,997

Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review

Imbens, G. W. (2004) · Review of Economics and Statistics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 2,994

Unbiased stereological estimation of the total number of neurons in the subdivisions of the rat hippocampus using the optical fractionator

West, M. J., Slomianka, L., & Gundersen, H. J. G. (1991) · The Anatomical Record

Point processes and geometric inequalitiesCell Image Analysis Techniques

Cited by 2,994

Moving to a World Beyond “ p < 0.05”

Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019) · The American Statistician

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 2,976

Algebraic Graph Theory

Biggs, N. (1974) · Cambridge University Press eBooks

Graph theory and applicationsFinite Group Theory Research

Cited by 2,940

Approximate Bayesian computation in population genetics

Beaumont, M. A., Zhang, W., & Balding, D. J. (2002) · Genetics

Markov Chains and Monte Carlo MethodsGenetic diversity and population structure

Cited by 2,932

Some new, simple and efficient stereological methods and their use in pathological research and diagnosis.

GUNDERSEN, H. J. G., BENDTSEN, T. F., KORBO, L., MARCUSSEN, N., MØLLER, A., NIELSEN, K., NYENGAARD, J. R., PAKKENBERG, B., SØRENSEN, F. B., VESTERBY, A., et al. (1988) · APMIS

Point processes and geometric inequalitiesCell Image Analysis Techniques

Cited by 2,929

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

Wager, S., & Athey, S. (2018) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 2,917

Calculating the sample size required for developing a clinical prediction model

Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 2,917

Large sample properties of matching estimators for average treatment effects

Abadie, A., & Imbens, G. W. (2006) · Econometrica

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 2,908

The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19)—China, 2020

CDC Weekly, C., & The Novel Coronavirus Pneumonia Emergency Response Epidemiology Team (2020) · China CDC Weekly

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 2,889

A structural approach to selection bias

Hernán, M. A., Hernández-Díaz, S., & Robins, J. M. (2004) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 2,844

The chi-square test of independence

McHugh, M. L. (2013) · Biochemia Medica

Probability and Statistical ResearchMultidisciplinary Science and Engineering Research

Cited by 2,828

Variable Selection via Gibbs Sampling

George, E. I., & McCulloch, R. E. (1993) · Journal of the American Statistical Association

Statistical Methods and InferenceMarkov Chains and Monte Carlo Methods

Cited by 2,828

Multiple imputation of discrete and continuous data by fully conditional specification

van Buuren, S. (2007) · Statistical Methods in Medical Research

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 2,827

Constructing Inverse Probability Weights for Marginal Structural Models

Cole, S. R., & Hernan, M. A. (2008) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 2,796

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

Graham, J. W., Olchowski, A. E., & Gilreath, T. D. (2007) · Prevention Science

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 2,795

When and how should multiple imputation be used for handling missing data in randomised clinical trials – a practical guide with flowcharts

Jakobsen, J. C., Gluud, C., Wetterslev, J., & Winkel, P. (2017) · BMC Medical Research Methodology

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 2,747

Internal validation of predictive models

Steyerberg, E. W., Harrell, F. E., Borsboom, G. J. J. M., Eijkemans, M. J. C., Vergouwe, Y., & Habbema, J. D. F. (2001) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 2,746