Check mathematics papers: citations, claims and retractions

The use of fractional polynomials to model continuous risk variables in epidemiology

Royston, P., Ambler, G., & Sauerbrei, W. (1999) · International Journal of Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Applications

Cited by 1,066

Logistic regression, survival analysis, and the Kaplan-Meier curve.

Efron, B. (1988) · Journal of the American Statistical Association

Statistical Methods and InferenceStatistical Distribution Estimation and Applications

Cited by 1,065

The Propensity Score with Continuous Treatments

Hirano, K., & Imbens, G. W. (2004) · Wiley Series in Probability and Statistics

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 1,064

Bias: Table 1

Delgado-Rodríguez, M., & Llorca, J. (2004) · Journal of Epidemiology and Community Health

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,064

The WHO estimates of excess mortality associated with the COVID-19 pandemic

Msemburi, W., Karlinsky, A., Knutson, V., Aleshin-Guendel, S., Chatterji, S., & Wakefield, J. (2023) · Nature

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 1,064

Yes, but what’s the mechanism? (don’t expect an easy answer).

Bullock, J. G., Green, D. P., & Ha, S. E. (2010) · Journal of Personality and Social Psychology

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 1,063

Central limit theorem: the cornerstone of modern statistics

Kwak, S. G., & Kim, J. H. (2017) · Korean Journal of Anesthesiology

Probability and Statistical ResearchProbabilistic Statistics in Medicine

Cited by 1,062

Evidence-Based Public Health: Moving Beyond Randomized Trials

Victora, C. G., Habicht, J.-P., & Bryce, J. (2004) · American Journal of Public Health

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 1,056

Gender similarities characterize math performance

Hyde, J. S., Lindberg, S. M., Linn, M. C., Ellis, A. B., & Williams, C. C. (2008) · Science

Cognitive and developmental aspects of mathematical skillsEducation, Achievement, and Giftedness

Cited by 1,054

Uncertainty Principles and Signal Recovery

Donoho, D. L., & Stark, P. B. (1989) · SIAM Journal on Applied Mathematics

Mathematical Analysis and Transform MethodsSparse and Compressive Sensing Techniques

Cited by 1,054

The Art of Data Augmentation

van Dyk, D. A., & Meng, X.-L. (2001) · Journal of Computational and Graphical Statistics

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 1,052

ROBPCA: A New Approach to Robust Principal Component Analysis

Hubert, M., Rousseeuw, P. J., & Vanden Branden, K. (2005) · Technometrics

Advanced Statistical Methods and ModelsStatistical Methods and Applications

Cited by 1,052

Distribution-Free Predictive Inference for Regression

Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., & Wasserman, L. (2018) · Journal of the American Statistical Association

Statistical Methods and InferenceAdvanced Statistical Methods and Models

Cited by 1,049

Doubly robust difference-in-differences estimators

Sant’Anna, P. H. C., & Zhao, J. (2020) · Journal of Econometrics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 1,047

The design versus the analysis of observational studies for causal effects: parallels with the design of randomized trials

Rubin, D. B. (2007) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 1,047

Comparing Coefficients of Nested Nonlinear Probability Models

Kohler, U., Karlson, K. B., & Holm, A. (2011) · The Stata Journal: Promoting communications on statistics and Stata

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 1,041

Estimating the burden of SARS-CoV-2 in France

Salje, H., Tran Kiem, C., Lefrancq, N., Courtejoie, N., Bosetti, P., Paireau, J., Andronico, A., Hozé, N., Richet, J., Dubost, C.-L., et al. (2020) · Science

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

Cited by 1,038

Counterfactuals and Causal Inference: Methods and Principles for Social Research

Morgan, S. L., & Winship, C. (2014) · Cambridge University Press

Advanced Causal Inference TechniquesPhilosophy and History of Science

Cited by 1,037

Why Psychologists Should by Default Use Welch’s t-test Instead of Student’s t-test

Delacre, M., Lakens, D., & Leys, C. (2017) · International Review of Social Psychology

Probability and Statistical ResearchAdvanced Statistical Methods and Models

Cited by 1,037

PROPORTION OF DISEASE CAUSED OR PREVENTED BY A GIVEN EXPOSURE, TRAIT OR INTERVENTION1

MIETTINEN, O. S. (1974) · American Journal of Epidemiology

Statistical Methods in EpidemiologyHistorical and modern epidemiology studies

Cited by 1,036

The size of a pilot study for a clinical trial should be calculated in relation to considerations of precision and efficiency

Sim, J., & Lewis, M. (2012) · Journal of Clinical Epidemiology

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 1,036

Factors associated with clinical trials that fail and opportunities for improving the likelihood of success: A review

Fogel, D. B. (2018) · Contemporary Clinical Trials Communications

Statistical Methods in Clinical TrialsEthics in Clinical Research

Cited by 1,035

Trials to assess equivalence: the importance of rigorous methods: Fig 1

Jones, B., Jarvis, P., Lewis, J. A., & Ebbutt, A. F. (1996) · BMJ

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 1,032

The frontier of simulation-based inference

Cranmer, K., Brehmer, J., & Louppe, G. (2020) · Proceedings of the National Academy of Sciences

Markov Chains and Monte Carlo MethodsSimulation Techniques and Applications

Cited by 1,032