Check mathematics papers: citations, claims and retractions

Correcting for non-compliance in randomized trials using rank preserving structural failure time models

Robins, J. M., & Tsiatis, A. A. (1991) · Communications in Statistics - Theory and Methods

Statistical Methods in Clinical TrialsStatistical Methods and Inference

Cited by 423

The statistical interpretation of pilot trials: should significance thresholds be reconsidered?

Lee, E. C., Whitehead, A. L., Jacques, R. M., & Julious, S. A. (2014) · BMC Medical Research Methodology

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 423

The design and analysis of longitudinal studies of development and psychopathology in context: Statistical models and methodological recommendations

WILLETT, J. B., SINGER, J. D., & MARTIN, N. C. (1998) · Development and Psychopathology

Statistical Methods and Bayesian InferenceMental Health Research Topics

Cited by 423

Bias in causal estimates from Mendelian randomization studies with weak instruments

Burgess, S., & Thompson, S. G. (2011) · Statistics in Medicine

Advanced Causal Inference TechniquesGenetic Associations and Epidemiology

Cited by 421

Designing, testing, and interpreting interactions and moderator effects in family research

Whisman, M. A., & McClelland, G. H. (2005) · Journal of Family Psychology

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 421

An Object-Oriented Framework for Robust Multivariate Analysis

Todorov, V., & Filzmoser, P. (2009) · Journal of Statistical Software

Advanced Statistical Methods and ModelsData Analysis with R

Cited by 420

A graphical approach to sequentially rejective multiple test procedures

Bretz, F., Maurer, W., Brannath, W., & Posch, M. (2009) · Statistics in Medicine

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 420

Framework to construct and interpret latent class trajectory modelling

Lennon, H., Kelly, S., Sperrin, M., Buchan, I., Cross, A. J., Leitzmann, M., Cook, M. B., & Renehan, A. G. (2018) · BMJ Open

Statistical Methods in EpidemiologyPsychometric Methodologies and Testing

Cited by 419

Effective public health measures to mitigate the spread of COVID-19: a systematic review

Ayouni, I., Maatoug, J., Dhouib, W., Zammit, N., Fredj, S. B., Ghammam, R., & Ghannem, H. (2021) · BMC Public Health

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 418

Craniometric variation among modern human populations

Relethford, J. H. (1994) · American Journal of Physical Anthropology

Morphological variations and asymmetryForensic Anthropology and Bioarchaeology Studies

Cited by 418

Estimated effectiveness of symptom and risk screening to prevent the spread of COVID-19

Gostic, K., Gomez, A. C., Mummah, R. O., Kucharski, A. J., & Lloyd-Smith, J. O. (2020) · eLife

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 417

Microlocal Analysis and Interacting Quantum Field Theories: Renormalization on Physical Backgrounds

Brunetti, R., & Fredenhagen, K. (1999) · arXiv

Advanced Operator Algebra ResearchMathematical and Theoretical Analysis

Cited by 417

Observational research, randomised trials, and two views of medical science

Vandenbroucke, J. P. (2008) · PLoS Medicine

Advanced Causal Inference TechniquesPhilosophy and History of Science

Cited by 416

The Practical Implementation of Bayesian Model Selection

Chipman, H., George, E. I., & McCulloch, R. E. (2001) · Institute of Mathematical Statistics Lecture Notes - Monograph Series

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 416

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

British Medical Journal Publishing Group (2024) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 416

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

Andaur Navarro, C. L., Damen, J. A. A., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., Collins, G. S., Bajpai, R., Riley, R. D., Moons, K. G. M., et al. (2021) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 415

Core Knowledge of Geometry in an Amazonian Indigene Group

Dehaene, S., Izard, V., Pica, P., & Spelke, E. (2006) · Science

Cognitive and developmental aspects of mathematical skillsCategorization, perception, and language

Cited by 415

Evolutionary Covariation in Geometric Morphometric Data: Analyzing Integration, Modularity, and Allometry in a Phylogenetic Context

Klingenberg, C. P., & Marugán-Lobón, J. (2013) · Systematic Biology

Morphological variations and asymmetryEvolution and Paleontology Studies

Cited by 415

Covariate Balance in Simple, Stratified and Clustered Comparative Studies

Hansen, B. B., & Bowers, J. (2008) · Statistical Science

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 414

Performing high‐powered studies efficiently with sequential analyses

Lakens, D. (2014) · European Journal of Social Psychology

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 414

CMAverse: A Suite of Functions for Reproducible Causal Mediation Analyses

Shi, B., Choirat, C., Coull, B. A., VanderWeele, T. J., & Valeri, L. (2021) · Epidemiology

Advanced Causal Inference TechniquesData Analysis with R

Cited by 413

Evaluating Prediction Rules for t -Year Survivors With Censored Regression Models

Uno, H., Cai, T., Tian, L., & Wei, L. J. (2007) · Journal of the American Statistical Association

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 413

Controversy in Counting and Attributing Events in Clinical Trials

Sackett, D. L., & Gent, M. (1979) · New England Journal of Medicine

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 413

Origins of the brain networks for advanced mathematics in expert mathematicians

Amalric, M., & Dehaene, S. (2016) · Proceedings of the National Academy of Sciences

Cognitive and developmental aspects of mathematical skillsNeurobiology of Language and Bilingualism

Cited by 413