Check mathematics papers: citations, claims and retractions

Random measurement error: Why worry? An example of cardiovascular risk factors

Brakenhoff, T. B., van Smeden, M., Visseren, F. L. J., & Groenwold, R. H. H. (2018) · PLOS ONE

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 52

Ecotoxicology is not normal: A comparison of statistical approaches for analysis of count and proportion data in ecotoxicology

Szöcs, E., & Schäfer, R. B. (2015) · Environmental Science and Pollution Research

Statistical Methods and Bayesian InferenceEnvironmental Toxicology and Ecotoxicology

Cited by 52

On the lack of a universal pattern associated with mammalian domestication: differences in skull growth trajectories across phylogeny

Sánchez-Villagra, M. R., Segura, V., Geiger, M., Heck, L., Veitschegger, K., & Flores, D. (2017) · Royal Society Open Science

Morphological variations and asymmetryHuman-Animal Interaction Studies

Cited by 52

CopyMean: A new method to predict monotone missing values in longitudinal studies

Genolini, C., Lacombe, A., Écochard, R., & Subtil, F. (2016) · Computer Methods and Programs in Biomedicine

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 52

Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty

York, J., Madigan, D., Heuch, I., & Lie, R. T. (1995) · Applied Statistics

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 52

Evaluating how clear the questions being investigated in randomised trials are: systematic review of estimands

Cro, S., Kahan, B. C., Rehal, S., Chis Ster, A., Carpenter, J. R., White, I. R., & Cornelius, V. R. (2022) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 52

Arguing for Adaptive Clinical Trials in Sepsis

Talisa, V. B., Yende, S., Seymour, C. W., & Angus, D. C. (2018) · Frontiers in Immunology

Statistical Methods in Clinical TrialsSepsis Diagnosis and Treatment

Cited by 52

Explorations in statistics: the bootstrap

Curran-Everett, D. (2009) · Advances in Physiology Education

Statistics Education and MethodologiesProbability and Statistical Research

Cited by 52

Allometric scaling of infraorbital surface topography in Homo

Maddux, S. D., & Franciscus, R. G. (2009) · Journal of Human Evolution

Morphological variations and asymmetryPleistocene-Era Hominins and Archaeology

Cited by 51

Assessment and Indirect Adjustment for Confounding by Smoking in Cohort Studies Using Relative Hazards Models

Richardson, D. B., Laurier, D., Schubauer-Berigan, M. K., Tchetgen, E. T., & Cole, S. R. (2014) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 51

Randomization Tests for Weak Null Hypotheses in Randomized Experiments

Wu, J., & Ding, P. (2020) · Taylor & Francis

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 51

General guidance on exploratory and confirmatory subgroup analysis in late-stage clinical trials

Dmitrienko, A., Muysers, C., Fritsch, A., & Lipkovich, I. (2016) · Journal of Biopharmaceutical Statistics

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 51

Nonparametric prediction in measurement error models

Carroll, R. J., Delaigle, A., & Hall, P. (2009) · Journal of the American Statistical Association

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 51

Examining language and early numeracy skills in young Latino dual language learners

Méndez, L. I., Hammer, C. S., Lopez, L. M., & Blair, C. (2019) · Early Childhood Research Quarterly

Cognitive and developmental aspects of mathematical skillsLanguage Development and Disorders

Cited by 51

Have Randomized Controlled Trials of Neuroprotective Drugs Been Underpowered?: An Illustration of Three Statistical Principles

Samsa, G. P., & Matchar, D. B. (2001) · Stroke

Statistical Methods in Clinical TrialsAcute Ischemic Stroke Management

Cited by 51

The neglected tool in the Bayesian ecologist's shed: a case study testing informative priors' effect on model accuracy

Morris, W. K., Vesk, P. A., McCarthy, M. A., Bunyavejchewin, S., & Baker, P. J. (2015) · Ecology and Evolution

Statistical Methods and Bayesian InferenceForest ecology and management

Cited by 51

Determination of the starting dose in the first-in-human clinical trials with monoclonal antibodies: a systematic review of papers published between 1990 and 2013

Suh, H. Y., Peck, C., Yu, K.-S., & Lee, H. (2016) · Drug Design, Development and Therapy

Statistical Methods in Clinical TrialsMonoclonal and Polyclonal Antibodies Research

Cited by 51

Causal Impact: Epidemiological Approaches for a Public Health of Consequence

Westreich, D., Edwards, J. K., Rogawski, E. T., Hudgens, M. G., Stuart, E. A., & Cole, S. R. (2016) · American Journal of Public Health

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 51

Bad subsequences of well-known linear congruential pseudorandom number generators

Entacher, K. (1998) · ACM Transactions on Modeling and Computer Simulation

Mathematical Approximation and IntegrationSimulation Techniques and Applications

Cited by 51

Blind outcome assessment: the development and use of procedures to maintain and describe blinding in a pragmatic physiotherapy rehabilitation trial

Lowe, C. M., Wilson, M., Sackley, C., & Barker, K. (2011) · Clinical Rehabilitation

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 50

Combining the regression discontinuity design and propensity score‐based weighting to improve causal inference in program evaluation

Linden, A., & Adams, J. L. (2012) · Journal of Evaluation in Clinical Practice

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 50

Causal models for longitudinal and panel data: a survey

Arkhangelsky, D., & Imbens, G. (2024) · The Econometrics Journal

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 50

Understanding heterogeneity to inform the public health response to COVID-19 in Canada

Mishra, S., Kwong, J. C., Chan, A. K., & Baral, S. D. (2020) · Canadian Medical Association Journal

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

Cited by 50

A Bayesian approach to randomized controlled trials in children utilizing information from adults: the case of Guillain-Barre

Goodman, S. N., & Sladky, J. T. (2005) · Clinical Trials

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 50