Check mathematics papers: citations, claims and retractions

A review of statistical updating methods for clinical prediction models

Su, T.-L., Jaki, T., Hickey, G. L., Buchan, I., & Sperrin, M. (2018) · Statistical Methods in Medical Research

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 147

Direct simulation Monte Carlo: The quest for speed

Gallis, M. A., Torczynski, J. R., Plimpton, S. J., Rader, D. J., & Koehler, T. (2014) · AIP Conference Proceedings

Gas Dynamics and Kinetic TheoryPlasma Diagnostics and Applications

Cited by 147

Exclusion rates in randomized controlled trials of treatments for physical conditions: a systematic review

He, J., Morales, D. R., & Guthrie, B. (2020) · Trials

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 147

Analysing the link between public transport use and airborne transmission: mobility and contagion in the London underground

Goscé, L., & Johansson, A. (2018) · Environmental Health

COVID-19 epidemiological studiesInfection Control and Ventilation

Cited by 147

Disparities in excess mortality associated with COVID-19 - united states, 2020

Rossen, L. M., Ahmad, F. B., Anderson, R. N., Branum, A. M., Du, C., Krumholz, H. M., Li, S.-X., Lin, Z., Marshall, A., Sutton, P. D., et al. (2021) · MMWR Morbidity and Mortality Weekly Report

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 146

On large subsets of $\mathbb{F}_q^n$ with no three-term arithmetic progression

Ellenberg, J., & Gijswijt, D. (2017) · Annals of Mathematics

Limits and Structures in Graph TheoryAnalytic Number Theory Research

Cited by 146

Robust covariance and scatter matrix estimation under Huber’s contamination model

Chen, M., Gao, C., & Ren, Z. (2018) · The Annals of Statistics

Advanced Statistical Methods and ModelsStatistical Methods and Inference

Cited by 146

Validation of clinical prediction models: what does the “calibration slope” really measure?

Stevens, R. J., & Poppe, K. K. (2020) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 146

COVID-19: extending or relaxing distancing control measures

Colbourn, T. (2020) · The Lancet Public Health

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 145

Prediction via Orthogonalized Model Mixing

Clyde, M., Desimone, H., & Parmigiani, G. (1996) · Journal of the American Statistical Association

Statistical Methods and InferenceMarkov Chains and Monte Carlo Methods

Cited by 145

Sample size and power estimation for studies with health related quality of life outcomes: a comparison of four methods using the SF-36.

Walters, S. J. (2004) · Health and Quality of Life Outcomes

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 145

Developmental Gains in Visuospatial Memory Predict Gains in Mathematics Achievement

Li, Y., & Geary, D. C. (2013) · PLoS ONE

Cognitive and developmental aspects of mathematical skillsCognitive Abilities and Testing

Cited by 145

Recommendations for progression criteria during external randomised pilot trial design, conduct, analysis and reporting

Mellor, K., Albury, C., Dutton, S. J., Eldridge, S., & Hopewell, S. (2023) · Pilot and Feasibility Studies

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 145

A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis

Xia, F., Chen, J., Fung, W. K., & Li, H. (2013) · Biometrics

Statistical Methods and InferenceGut microbiota and health

Cited by 144

The Intervention Selection Bias: An Underrecognized Confound in Intervention Research.

Larzelere, R. E., Kuhn, B. R., & Johnson, B. (2004) · Psychological Bulletin

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 144

Contacts in context: large-scale setting-specific social mixing matrices from the BBC Pandemic project

Klepac, P., Kucharski, A. J., Conlan, A. J., Kissler, S., Tang, M. L., Fry, H., & Gog, J. R. (2020) · medRxiv

COVID-19 epidemiological studiesMathematical and Theoretical Epidemiology and Ecology Models

Cited by 144

Progress of a half century in the study of the Luria-Delbrück distribution

Zheng, Q. (1999) · Mathematical Biosciences

Probability and Statistical ResearchEvolution and Genetic Dynamics

Cited by 144

Effect sizes and statistical testing in the determination of clinical significance in behavioral medicine research

Rutledge, T., & Loh, C. (2004) · Annals of Behavioral Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 144

On the Use of the Lasso for Instrumental Variables Estimation with Some Invalid Instruments

Windmeijer, F., Farbmacher, H., Davies, N., & Davey Smith, G. (2019) · Journal of the American Statistical Association

Statistical Methods and InferenceAdvanced Causal Inference Techniques

Cited by 144

How to quantify support for and against the null hypothesis: A flexible WinBUGS implementation of a default Bayesian t test

Wetzels, R., Raaijmakers, J. G. W., Jakab, E., & Wagenmakers, E.-J. (2009) · Psychonomic Bulletin & Review

Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications

Cited by 143

Tests for no treatment effect in randomized clinical trials

GAIL, M. H., TAN, W. Y., & PIANTADOSI, S. (1988) · Biometrika

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 143

Sample size requirements for multivariate models to predict between-patient differences in best treatments of major depressive disorder

Luedtke, A., Sadikova, E., & Kessler, R. C. (2019) · Clinical Psychological Science

Statistical Methods in Clinical TrialsTreatment of Major Depression

Cited by 143

A Note on Regression When There is Extraneous Information About One of the Coefficients

Durbin, J. (1953) · Journal of the American Statistical Association

Advanced Statistical Methods and ModelsStatistical and numerical algorithms

Cited by 143

When Is Parallel Trends Sensitive to Functional Form?

Roth, J., & Sant'Anna, P. H. C. (2023) · Econometrica

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 142