Check mathematics papers: citations, claims and retractions

Post-randomisation exclusions: the intention to treat principle and excluding patients from analysis

Fergusson, D., Aaron, S. D., Guyatt, G., & Hébert, P. (2002) · BMJ

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 708

The Greatest of a Finite Set of Random Variables

Clark, C. E. (1961) · Operations Research

Probability and Statistical ResearchStatistical Distribution Estimation and Applications

Cited by 708

Assessment of diagnostic tests when disease verification is subject to selection bias

Begg, C. B., & Greenes, R. A. (1983) · Biometrics

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 708

Case–Control Studies

Rothman, K. J., Greenland, S., & Lash, T. L. (2008) · Encyclopedia of Quantitative Risk Analysis and Assessment

Statistical Methods in EpidemiologyGlobal Cancer Incidence and Screening

Cited by 706

The n-of-1 clinical trial: the ultimate strategy for individualizing medicine?

Lillie, E. O., Patay, B., Diamant, J., Issell, B., Topol, E. J., & Schork, N. J. (2011) · Personalized Medicine

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 706

Optimal Full Matching and Related Designs via Network Flows

Hansen, B. B., & Klopfer, S. O. (2006) · Journal of Computational and Graphical Statistics

Advanced Causal Inference TechniquesOptimal Experimental Design Methods

Cited by 703

. Caution regarding the use of pilot studies to guide power calculations for study proposals.

Kraemer, H. C., Mintz, J., Noda, A., Tinklenberg, J., & Yesavage, J. A. (2006) · Archives of General Psychiatry

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 702

Comparison of Multivariate Matching Methods: Structures, Distances, and Algorithms

Gu, X. S., & Rosenbaum, P. R. (1993) · Journal of Computational and Graphical Statistics

Advanced Causal Inference TechniquesOptimal Experimental Design Methods

Cited by 702

The generalizability crisis

Yarkoni, T. (2022) · Behavioral and Brain Sciences

Statistical Methods and Bayesian InferencePsychology Research and Bibliometrics

Cited by 701

Group-Based Trajectory Modeling: An Overview

Nagin, D. S. (2014) · Annals of Nutrition and Metabolism

Statistical Methods and Bayesian InferenceStatistical Methods and Applications

Cited by 700

Statistical data preparation: management of missing values and outliers

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

Statistical Methods and Bayesian InferenceAdvanced Statistical Methods and Models

Cited by 699

A Primer on Effectiveness and Efficacy Trials

Singal, A. G., Higgins, P. D. R., & Waljee, A. K. (2014) · Clinical and Translational Gastroenterology

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 698

Impact of delays on effectiveness of contact tracing strategies for COVID-19: a modelling study

Kretzschmar, M. E., Rozhnova, G., Bootsma, M. C. J., van Boven, M., van de Wijgert, J. H. H. M., & Bonten, M. J. M. (2020) · The Lancet Public Health

COVID-19 epidemiological studiesCOVID-19 Digital Contact Tracing

Cited by 697

Assessing the clinical impact of risk prediction models with decision curves: guidance for correct interpretation and appropriate use

Kerr, K. F., Brown, M. D., Zhu, K., & Janes, H. (2016) · Journal of Clinical Oncology

Statistical Methods in EpidemiologyProstate Cancer Diagnosis and Treatment

Cited by 697

A framework for feature selection in clustering

Witten, D. M., & Tibshirani, R. (2010) · Journal of the American Statistical Association

Statistical Methods and InferenceAdvanced Clustering Algorithms Research

Cited by 696

Characterizing Selection Bias Using Experimental Data

Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998) · National Bureau of Economic Research

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 696

Statistical primer: propensity score matching and its alternatives

Benedetto, U., Head, S. J., Angelini, G. D., & Blackstone, E. H. (2018) · European Journal of Cardio-Thoracic Surgery

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 695

50 Years of Data Science

Donoho, D. (2017) · Journal of Computational and Graphical Statistics

Statistics Education and MethodologiesBig Data Technologies and Applications

Cited by 695

Addressing extreme propensity scores via the overlap weights

Li, F., & Thomas, L. E. (2018) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 694

Understanding Random Forests: From Theory to Practice

Louppe, G. (2014) · arXiv

Statistical Methods and InferenceData Mining Algorithms and Applications

Cited by 693

Statistical power in two-level models: A tutorial based on Monte Carlo simulation

Arend, M. G., & Schäfer, T. (2019) · Psychological Methods

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 693

Can the flow of medicines be improved? Fundamental pharmacokinetic and pharmacological principles toward improving Phase II survival

Morgan, P., Van Der Graaf, P. H., Arrowsmith, J., Feltner, D. E., Drummond, K. S., Wegner, C. D., & Street, S. D. A. (2012) · Drug Discovery Today

Statistical Methods in Clinical TrialsComputational Drug Discovery Methods

Cited by 692

Mathematics Instruction for Students With Learning Disabilities: A Meta-Analysis of Instructional Components

Gersten, R., Chard, D. J., Jayanthi, M., Baker, S. K., Morphy, P., & Flojo, J. (2009) · Review of Educational Research

Cognitive and developmental aspects of mathematical skillsMathematics Education and Pedagogy

Cited by 689

Ordinal Regression Models in Psychology: A Tutorial

Bürkner, P.-C., & Vuorre, M. (2019) · Advances in Methods and Practices in Psychological Science

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 689