Check mathematics papers: citations, claims and retractions

Policy-Relevant Proportions for Direct Effects

VanderWeele, T. J. (2013) · Epidemiology

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 123

Placental abruption and perinatal mortality with preterm delivery as a mediator: disentangling direct and indirect effects

Ananth, C. V., & VanderWeele, T. J. (2011) · American Journal of Epidemiology

Advanced Causal Inference TechniquesMaternal and fetal healthcare

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Under-reporting of deaths limits our understanding of true burden of covid-19

Whittaker, C., Walker, P. G. T., Alhaffar, M., Hamlet, A., Djaafara, B. A., Ghani, A., Ferguson, N., Dahab, M., Checchi, F., & Watson, O. J. (2021) · BMJ

COVID-19 epidemiological studiesData-Driven Disease Surveillance

Cited by 122

Going Beyond Convergence in Bayesian Estimation: Why Precision Matters Too and How to Assess It

Zitzmann, S., & Hecht, M. (2019) · Structural Equation Modeling: A Multidisciplinary Journal

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 122

From virtual patients to digital twins in immuno-oncology: lessons learned from mechanistic quantitative systems pharmacology modeling

Wang, H., Arulraj, T., Ippolito, A., & Popel, A. S. (2024) · npj Digital Medicine

Statistical Methods in Clinical TrialsMathematical Biology Tumor Growth

Cited by 122

A general double robustness result for estimating average treatment effects

Słoczyński, T., & Wooldridge, J. M. (2018) · Econometric Theory

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 122

Why use placebos in clinical trials? A narrative review of the methodological literature

Vickers, A. (2000) · Journal of Clinical Epidemiology

Statistical Methods in Clinical TrialsPain Management and Placebo Effect

Cited by 121

Excess mortality in england and wales during the first wave of the COVID-19 pandemic

Kontopantelis, E., Mamas, M. A., Deanfield, J., Asaria, M., & Doran, T. (2021) · Journal of Epidemiology and Community Health

COVID-19 epidemiological studiesCOVID-19 and healthcare impacts

Cited by 121

Comparing Tablets and PCs in teaching Mathematics: An attempt to improve Mathematics Competence in Early Childhood Education

Papadakis, S., Kalogiannakis, M., & Zaranis, N. (2016) · Preschool and Primary Education

Cognitive and developmental aspects of mathematical skillsMathematics Education and Teaching Techniques

Cited by 121

Bayesian analysis of random-effect models in the analysis of variance. I. Posterior distribution of variance-components

Tiao, G. C., & Tan, W. Y. (1965) · Biometrika

Statistical Methods and Bayesian InferenceStatistical Distribution Estimation and Applications

Cited by 121

Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment

Ainslie, K. E. C., Walters, C. E., Fu, H., Bhatia, S., Wang, H., Xi, X., Baguelin, M., Bhatt, S., Boonyasiri, A., Boyd, O., et al. (2020) · Wellcome Open Research

COVID-19 epidemiological studiesCOVID-19 Prevention and Impact

Cited by 121

Analysis of the Luria–Delbrück distribution using discrete convolution powers

Ma, W. T., Sandri, G. V., & Sarkar, S. (1992) · Journal of Applied Probability

Stochastic processes and statistical mechanicsBayesian Methods and Mixture Models

Cited by 121

Optimal Inference in a Class of Regression Models

Armstrong, T. B., & Kolesár, M. (2018) · Econometrica

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 120

Current Research and Statistical Practices in Sport Science and a Need for Change

Bernards, J., Sato, K., Haff, G., & Bazyler, C. (2017) · Sports

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 120

Variation in COVID-19 mortality in the US by race and ethnicity and educational attainment

Feldman, J. M., & Bassett, M. T. (2021) · JAMA Network Open

COVID-19 epidemiological studiesHealth disparities and outcomes

Cited by 120

Does McNemar’s test compare the sensitivities and specificities of two diagnostic tests?

Kim, S., & Lee, W. (2017) · Statistical Methods in Medical Research

Statistical Methods in EpidemiologyProbability and Statistical Research

Cited by 120

Determining informative priors for cognitive models

Lee, M. D., & Vanpaemel, W. (2018) · Psychonomic Bulletin & Review

Statistical Methods and Bayesian InferenceBayesian Modeling and Causal Inference

Cited by 120

Basic number processing in children with specific learning disorders: comorbidity of reading and mathematics disorders

Moll, K., Göbel, S. M., & Snowling, M. J. (2015) · Child Neuropsychology

Cognitive and developmental aspects of mathematical skillsReading and Literacy Development

Cited by 120

Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study

Van Calster, B., van Smeden, M., De Cock, B., & Steyerberg, E. W. (2020) · Statistical Methods in Medical Research

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 120

Synthetic controls with staggered adoption.

Ben-Michael, E., Feller, A., & Rothstein, J. (2022) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 120

The role of causal criteria in causal inferences: Bradford Hill's "aspects of association"

Ward, A. C. (2009) · Epidemiologic Perspectives & Innovations

Advanced Causal Inference TechniquesPhilosophy and History of Science

Cited by 120

Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020

Pullano, G., Pinotti, F., Valdano, E., Boëlle, P.-Y., Poletto, C., & Colizza, V. (2020) · Eurosurveillance

COVID-19 epidemiological studiesTravel-related health issues

Cited by 120

Joining forces of Bayesian and frequentist methodology: a study for inference in the presence of non-identifiability

Raue, A., Kreutz, C., Theis, F. J., & Timmer, J. (2013) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 119

Sample sizes required to detect two-way and three-way interactions involving slope differences in mixed-effects linear models

Heo, M., & Leon, A. C. (2010) · Journal of Biopharmaceutical Statistics

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 119