Check mathematics papers: citations, claims and retractions

Natural experiments: an underused tool for public health?

Petticrew, M., Cummins, S., Ferrell, C., Findlay, A., Higgins, C., Hoy, C., Kearns, A., & Sparks, L. (2005) · Public Health

Advanced Causal Inference TechniquesHealth disparities and outcomes

Cited by 318

A Conceptual Introduction to Bayesian Model Averaging

Hinne, M., Gronau, Q. F., van den Bergh, D., & Wagenmakers, E.-J. (2020) · Advances in Methods and Practices in Psychological Science

Statistical Methods and Bayesian InferenceStatistical Methods and Inference

Cited by 318

Efficiency Bounds for Semiparametric Regression

Chamberlain, G. (1992) · Econometrica

Statistical Methods and InferenceAdvanced Causal Inference Techniques

Cited by 318

Lack of confidence in approximate Bayesian computation model choice

Robert, C. P., Cornuet, J.-M., Marin, J.-M., & Pillai, N. S. (2011) · Proceedings of the National Academy of Sciences

Markov Chains and Monte Carlo MethodsGenetic diversity and population structure

Cited by 317

The wild bootstrap for few (treated) clusters

MacKinnon, J. G., & Webb, M. D. (2018) · The Econometrics Journal

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 317

Program evaluation and causal inference with high-dimensional data

Belloni, A., Chernozhukov, V., Fern�ndez-Val, I., & Hansen, C. (2017) · Econometrica

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 317

When and how can real world data analyses substitute for randomized controlled trials?

Franklin, J. M., & Schneeweiss, S. (2017) · Clinical Pharmacology & Therapeutics

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 316

Diagnostic accuracy measures

Eusebi, P. (2013) · Cerebrovascular Diseases

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 316

Multilevel Modeling of Categorical Outcomes Using IBM SPSS

Heck, R. H., Thomas, S., & Tabata, L. (2013) · Routledge eBooks

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 316

Statistical paradises and paradoxes in big data (I): Law of large populations, big data paradox, and the 2016 US presidential election

Meng, X.-L. (2018) · The Annals of Applied Statistics

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 316

A Bayesian perspective on the bonferroni adjustment

Westfall, P. (1997) · Biometrika

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 316

Covariate balancing propensity score for a continuous treatment: Application to the efficacy of political advertisements

Fong, C., Hazlett, C., & Imai, K. (2018) · The Annals of Applied Statistics

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 315

Shape constrained additive models

Pya, N., & Wood, S. N. (2015) · Statistics and Computing

Statistical Methods and InferenceStatistical Methods and Applications

Cited by 315

A review of bootstrap confidence intervals

Diciccio, T. J., & Romano, J. P. (1988) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and InferenceStatistical Distribution Estimation and Applications

Cited by 314

Projection-Pursuit Approach to Robust Dispersion Matrices and Principal Components: Primary Theory and Monte Carlo

Li, G., & Chen, Z. (1985) · Journal of the American Statistical Association

Advanced Statistical Methods and ModelsStatistical Methods and Applications

Cited by 314

Observational research--opportunities and limitations

Boyko, E. J. (2013) · Journal of Diabetes and its Complications

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 313

Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods

Wallis, S. (2013) · Journal of Quantitative Linguistics

Probability and Statistical ResearchStatistical Distribution Estimation and Applications

Cited by 313

Issues in the reporting of epidemiological studies: a survey of recent practice.

Pocock, S. J., Collier, T. J., Dandreo, K. J., de Stavola, B. L., Goldman, M. B., Kalish, L. A., Kasten, L. E., & McCormack, V. A. (2004) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 313

Three simple rules to ensure reasonably credible subgroup analyses

Burke, J. F., Sussman, J. B., Kent, D. M., & Hayward, R. A. (2015) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 312

Years of life lost to COVID-19 in 81 countries

Pifarré i Arolas, H., Acosta, E., López-Casasnovas, G., Lo, A., Nicodemo, C., Riffe, T., & Myrskylä, M. (2021) · Scientific Reports

COVID-19 epidemiological studiesInsurance, Mortality, Demography, Risk Management

Cited by 312

Comparison of Akaike information criterion and consistent Akaike information criterion for model selection and statistical inference from capture-recapture studies

Anderson, D. R., Burnham, K. P., & White, G. C. (1998) · Journal of Applied Statistics

Census and Population EstimationStatistical Methods and Inference

Cited by 311

Estimating common trends in multivariate time series using dynamic factor analysis

Zuur, A. F., Fryer, R. J., Jolliffe, I. T., Dekker, R., & Beukema, J. J. (2003) · Environmetrics

Statistical Methods and ApplicationsTime Series Analysis and Forecasting

Cited by 311

Estimation of the time-varying reproduction number of COVID-19 outbreak in China

You, C., Deng, Y., Hu, W., Sun, J., Lin, Q., Zhou, F., Pang, C. H., Zhang, Y., Chen, Z., & Zhou, X.-H. (2020) · International Journal of Hygiene and Environmental Health

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 310

Methodological bias in cluster randomised trials

Hahn, S., Puffer, S., Torgerson, D. J., & Watson, J. (2005) · BMC Medical Research Methodology

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 310