Check mathematics papers: citations, claims and retractions

A Kernel Method for the Two-Sample-Problem

Gretton, A., Borgwardt, K. M., Rasch, M., Schölkopf, B., & Smola, A. J. (2007) · Advances in Neural Information Processing Systems 19

Probability and Statistical ResearchStatistical Methods and Applications

Cited by 2,167

Birational Geometry of Algebraic Varieties

Kollár, J., & Mori, S. (1998) · Cambridge University Press eBooks

Algebraic Geometry and Number TheoryGeometry and complex manifolds

Cited by 2,165

Equivalence Tests

Lakens, D. (2017) · Social Psychological and Personality Science

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 2,161

What is meant by intention to treat analysis? Survey of published randomised controlled trials

Hollis, S., & Campbell, F. (1999) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 2,160

Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates

Peduzzi, P., Concato, J., Feinstein, A. R., & Holford, T. R. (1995) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 2,154

Misunderstanding analysis of covariance.

Miller, G. A., & Chapman, J. P. (2001) · Journal of Abnormal Psychology

Statistical Methods and Bayesian InferenceStatistical Methods and Applications

Cited by 2,136

Mediation analysis allowing for exposure–mediator interactions and causal interpretation: Theoretical assumptions and implementation with SAS and SPSS macros.

Valeri, L., & VanderWeele, T. J. (2013) · Psychological Methods

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 2,132

Quasi-likelihood functions, generalized linear models, and the Gauss—Newton method

WEDDERBURN, R. W. M. (1974) · Biometrika

Statistical Methods and Bayesian InferenceStatistical and numerical algorithms

Cited by 2,122

Quasi-likelihood functions, generalized linear models, and the gauss-newton method

Wedderburn, R. W. M. (1974) · Biometrika

Statistical Methods and Bayesian InferenceStatistical and numerical algorithms

Cited by 2,122

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

Christodoulou, E., Ma, J., Collins, G. S., Steyerberg, E. W., Verbakel, J. Y., & Van Calster, B. (2019) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 2,119

Analysing controlled trials with baseline and follow up measurements

Vickers, A. J., & Altman, D. G. (2001) · BMJ

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 2,116

Robust regression using iteratively reweighted least-squares.

Holland, P. W., & Welsch, R. E. (1977) · Communications in Statistics - Theory and Methods

Advanced Statistical Methods and ModelsStatistical and numerical algorithms

Cited by 2,115

Overadjustment bias and unnecessary adjustment in epidemiologic studies.

Schisterman, E. F., Cole, S. R., & Platt, R. W. (2009) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 2,096

A brief introduction to mixed effects modelling and multi-model inference in ecology

Harrison, X. A., Donaldson, L., Correa-Cano, M. E., Evans, J., Fisher, D. N., Goodwin, C. E. D., Robinson, B. S., Hodgson, D. J., & Inger, R. (2018) · PeerJ

Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science

Cited by 2,094

Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020–21

Wang, H., Paulson, K. R., Pease, S. A., Watson, S., Comfort, H., Zheng, P., Aravkin, A. Y., Bisignano, C., Barber, R. M., Alam, T., et al. (2022) · The Lancet

COVID-19 epidemiological studiesCOVID-19 and healthcare impacts

Cited by 2,069

What are biomarkers?

Strimbu, K., & Tavel, J. A. (2010) · Current Opinion in HIV and AIDS

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 2,062

What you see may not be what you get: a brief, nontechnical introduction to overfitting in regression-type models

Babyak, M. A. (2004) · Psychosomatic Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 2,061

Modular Elliptic Curves and Fermat's Last Theorem

Wiles, A. (1995) · The Annals of Mathematics

Advanced Algebra and GeometryAlgebraic Geometry and Number Theory

Cited by 2,060

Surrogate endpoints in clinical trials: Definition and operational criteria

Prentice, R. L. (1989) · Statistics in Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 2,057

The disaggregation of within-person and between-person effects in longitudinal models of change

Curran, P. J., & Bauer, D. J. (2011) · Annual Review of Psychology

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 2,056

The Abuse of Power: The Pervasive Fallacy of Power Calculations for Data Analysis

Hoenig, J. M., & Heisey, D. M. (2001) · The American Statistician

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 2,046

Practical markov chain monte carlo

Geyer, C. J. (1992) · Statistical Science

Markov Chains and Monte Carlo MethodsSimulation Techniques and Applications

Cited by 2,045

What's Trending in Difference-in-Differences? A Synthesis of the Recent Econometrics Literature

Roth, J., Sant'Anna, P. H. C., Bilinski, A., & Poe, J. (2022) · arXiv

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 2,036

Randomization Tests

Edgington, E., Edgington, E., & Onghena, P. (2007) · Encyclopedia of Statistical Sciences

Probability and Statistical ResearchStatistical Methods in Clinical Trials

Cited by 2,030