Check mathematics papers: citations, claims and retractions

Estimation of Direct Causal Effects

Petersen, M. L., Sinisi, S. E., & van der Laan, M. J. (2006) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 362

Intention to treat analysis, compliance, drop-outs and how to deal with missing data in clinical research: a review

Armijo-Olivo, S., Warren, S., & Magee, D. (2009) · Physical Therapy Reviews

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 361

Pairwise Multiple Comparison Procedures with Unequal N's and/or Variances: A Monte Carlo Study

Games, P. A., & Howell, J. F. (1976) · Journal of Educational Statistics

Statistical Methods in Clinical TrialsStatistical Methods and Applications

Cited by 361

Portable and Error-Free DNA-Based Data Storage

Yazdi, S. M. H. T., Gabrys, R., & Milenkovic, O. (2017) · Scientific Reports

DNA and Biological ComputingAlgorithms and Data Compression

Cited by 361

Why the cross-lagged panel model is almost never the right choice

Lucas, R. E. (2023) · Advances in Methods and Practices in Psychological Science

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 361

Zariski-decomposition and Abundance

Nakayama, N. (2004) · Mathematical Society of Japan Memoirs

Algebraic Geometry and Number TheoryGeometry and complex manifolds

Cited by 361

Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models

Bernal-Rusiel, J. L., Greve, D. N., Reuter, M., Fischl, B., & Sabuncu, M. R. (2013) · NeuroImage

Statistical Methods and Bayesian InferenceDementia and Cognitive Impairment Research

Cited by 360

The Geometry of Ecological Interactions: Simplifying Spatial Complexity

(2000) · Cambridge University Press eBooks

Mathematical and Theoretical Epidemiology and Ecology ModelsEcosystem dynamics and resilience

Cited by 360

An Introductory Guide to Event Study Models

Miller, D. L. (2023) · Journal of Economic Perspectives

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 360

blavaan : Bayesian Structural Equation Models via Parameter Expansion

Merkle, E. C., & Rosseel, Y. (2018) · Journal of Statistical Software

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 360

Selecting an Appropriate Caliper Can Be Essential for Achieving Good Balance With Propensity Score Matching

Lunt, M. (2014) · American Journal of Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 358

Data, Design, and Background Knowledge in Etiologic Inference

Robins, J. M. (2001) · Epidemiology

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 358

Multiplicity in randomised trials II: subgroup and interim analyses

Schulz, K. F., & Grimes, D. A. (2005) · The Lancet

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 357

Parameter Expansion for Data Augmentation

Liu, J. S., & Wu, Y. N. (1999) · Journal of the American Statistical Association

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 356

Information equivalence in survey experiments

Dafoe, A., Zhang, B., & Caughey, D. (2018) · Political Analysis

Advanced Causal Inference TechniquesSurvey Methodology and Nonresponse

Cited by 356

Mediation and moderation of treatment effects in randomised controlled trials of complex interventions

Emsley, R., Dunn, G., & White, I. R. (2010) · Statistical Methods in Medical Research

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 356

Serial interval and incubation period of COVID-19: a systematic review and meta-analysis

Alene, M., Yismaw, L., Assemie, M. A., Ketema, D. B., Gietaneh, W., & Birhan, T. Y. (2021) · BMC Infectious Diseases

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

Cited by 354

Physiological Pharmacokinetic Analysis Using Population Modeling and Informative Prior Distributions

Gelman, A., Bois, F., & Jiang, J. (1996) · Journal of the American Statistical Association

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 353

Nonexperimental Versus Experimental Estimates of Earnings Impacts

Glazerman, S., Levy, D. M., & Myers, D. (2003) · The ANNALS of the American Academy of Political and Social Science

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 352

Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework

Kim, J., He, Y., & Park, H. (2014) · Journal of Global Optimization

Tensor decomposition and applicationsFace and Expression Recognition

Cited by 352

On thinning of chains in MCMC

Link, W. A., & Eaton, M. J. (2012) · Methods in Ecology and Evolution

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 351

Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general medical journals

Puffer, S., Torgerson, D., & Watson, J. (2003) · BMJ

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 351

Pharmacokinetic/Pharmacodynamic Modeling in Drug Development

Sheiner, L. B., & Steimer, J.-L. (2000) · Annual Review of Pharmacology and Toxicology

Statistical Methods in Clinical TrialsPharmaceutical studies and practices

Cited by 351

Geometric quantization of Chern-Simons gauge theory

Axelrod, S., Della Pietra, S., & Witten, E. (1991) · Journal of Differential Geometry

Geometric and Algebraic TopologyAlgebraic structures and combinatorial models

Cited by 350