Check mathematics papers: citations, claims and retractions

Shape analysis of symmetric structures: quantifying variation among individuals and asymmetry

Klingenberg, C. P., Barluenga, M., & Meyer, A. (2002) · Evolution

Morphological variations and asymmetryAnimal Behavior and Reproduction

Cited by 1,109

Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China

Zhang, J., Litvinova, M., Liang, Y., Wang, Y., Wang, W., Zhao, S., Wu, Q., Merler, S., Viboud, C., Vespignani, A., et al. (2020) · Science

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

Cited by 1,107

Model uncertainty, data mining and statistical inference

Chatfield, C. (1995) · Journal of the Royal Statistical Society. Series A (Statistics in Society)

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 1,103

What are the odds? A practical guide to computing and reporting Bayes factors

Jarosz, A. F., & Wiley, J. (2014) · The Journal of Problem Solving

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 1,101

Natural and Quasi-Experiments in Economics

Meyer, B. D. (1995) · Journal of Business & Economic Statistics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 1,100

Lack of group-to-individual generalizability is a threat to human subjects research

Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018) · Proceedings of the National Academy of Sciences

Statistical Methods and Bayesian InferenceReliability and Agreement in Measurement

Cited by 1,099

An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis

Geisser, S., & Greenhouse, S. W. (1958) · The Annals of Mathematical Statistics

Statistical Methods and ApplicationsAdvanced Statistical Methods and Models

Cited by 1,098

Markov Chain Monte Carlo: Stochastic Simulation for Bayesian Inference, Second Edition

Gamerman, D., & Lopes, H. F. (2006) · Chapman & Hall/CRC eBooks

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 1,097

Specifying a target trial prevents immortal time bias and other self-inflicted injuries in observational analyses

Hernán, M. A., Sauer, B. C., Hernández-Díaz, S., Platt, R., & Shrier, I. (2016) · Journal of Clinical Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 1,097

Extracting the variance inflation factor and other multicollinearity diagnostics from typical regression results

Thompson, C. G., Kim, R. S., Aloe, A. M., & Becker, B. J. (2017) · Basic and Applied Social Psychology

Advanced Statistical Methods and ModelsStatistical Methods and Applications

Cited by 1,092

Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models

Singer, J. D. (1998) · Journal of Educational and Behavioral Statistics

Statistical Methods and Bayesian InferenceSAS software applications and methods

Cited by 1,092

Null hypothesis significance testing: a review of an old and continuing controversy

Nickerson, R. S. (2000) · Psychological Methods

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 1,090

Making sense of sensitivity: extending omitted variable bias

Cinelli, C., & Hazlett, C. (2020) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 1,088

Outline of a Theory of Statistical Estimation Based on the Classical Theory of Probability

Neyman, J. (1937) · Philosophical Transactions of the Royal Society of London. Series A, Mathematical and Physical Sciences

Probability and Statistical ResearchStatistical Distribution Estimation and Applications

Cited by 1,087

On the Two Different Aspects of the Representative Method: The Method of Stratified Sampling and the Method of Purposive Selection

Neyman, J. (1934) · Journal of the Royal Statistical Society

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 1,086

A comparison of 12 algorithms for matching on the propensity score

Austin, P. C. (2014) · Statistics in Medicine

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 1,085

Fixed and random effects models: making an informed choice

Bell, A., Fairbrother, M., & Jones, K. (2019) · Quality & Quantity

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 1,085

Identification and Inference in Nonlinear Difference-in-Differences Models

Athey, S., & Imbens, G. W. (2006) · Econometrica

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 1,084

Confirmatory path analysis in a generalized multilevel context

Shipley, B. (2009) · Ecology

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 1,083

Validity of self-reported height and weight in 4808 EPIC–Oxford participants

Spencer, E. A., Appleby, P. N., Davey, G. K., & Key, T. J. (2002) · Public Health Nutrition

Statistical Methods in EpidemiologyBody Composition Measurement Techniques

Cited by 1,082

The Multiphase Optimization Strategy (MOST) and the Sequential Multiple Assignment Randomized Trial (SMART)

Collins, L. M., Murphy, S. A., & Strecher, V. (2007) · American Journal of Preventive Medicine

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 1,082

Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: current practiceand problems.

Pocock, S. J., Assmann, S. E., Enos, L. E., & Kasten, L. E. (2002) · Statistics in Medicine

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 1,077

An overview of randomization techniques: An unbiased assessment of outcome in clinical research

Suresh, K. (2011) · Journal of Human Reproductive Sciences

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 1,070

A survey on missing data in machine learning

Emmanuel, T., Maupong, T., Mpoeleng, D., Semong, T., Mphago, B., & Tabona, O. (2021) · Journal of Big Data

Statistical Methods and Bayesian InferenceMachine Learning and Data Classification

Cited by 1,067