Check mathematics papers: citations, claims and retractions

Latent variable graphical model selection via convex optimization

Chandrasekaran, V., Parrilo, P. A., & Willsky, A. S. (2012) · The Annals of Statistics

Statistical Methods and InferenceSparse and Compressive Sensing Techniques

Cited by 377

New recommendations for testing indirect effects in mediational models: The need to report and test component paths.

Yzerbyt, V., Muller, D., Batailler, C., & Judd, C. M. (2018) · Journal of Personality and Social Psychology

Advanced Causal Inference TechniquesMeta-analysis and systematic reviews

Cited by 375

Mathematical modelling of avascular-tumour growth

Ward, J. (1997) · Mathematical Medicine and Biology

Mathematical Biology Tumor GrowthCancer Cells and Metastasis

Cited by 375

An Introduction to the Augmented Inverse Propensity Weighted Estimator

Glynn, A. N., & Quinn, K. M. (2010) · Political Analysis

Advanced Causal Inference TechniquesStatistical Methods and Bayesian Inference

Cited by 374

Dynamics of band electrons in electric and magnetic fields: rigorous justification of the effective Hamiltonians

Nenciu, G. (1991) · Reviews of Modern Physics

Spectral Theory in Mathematical PhysicsQuantum and electron transport phenomena

Cited by 374

Calibration of Risk Prediction Models: Impact on Decision-Analytic Performance

Van Calster, B., & Vickers, A. J. (2015) · Medical Decision Making

Statistical Methods in EpidemiologyClinical Reasoning and Diagnostic Skills

Cited by 371

When to adjust alpha during multiple testing: a consideration of disjunction, conjunction, and individual testing

Rubin, M. (2021) · Synthese

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 371

Interference Between Units in Randomized Experiments

Rosenbaum, P. R. (2007) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 371

Testing for baseline differences in randomized controlled trials: An unhealthy research behavior that is hard to eradicate

de Boer, M. R., Waterlander, W. E., Kuijper, L. D., Steenhuis, I. H., & Twisk, J. W. (2015) · International Journal of Behavioral Nutrition and Physical Activity

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 370

Usual and Unusual Care: Existing Practice Control Groups in Randomized Controlled Trials of Behavioral Interventions

Freedland, K. E., Mohr, D. C., Davidson, K. W., & Schwartz, J. E. (2011) · Psychosomatic Medicine

Statistical Methods in Clinical TrialsHealth Policy Implementation Science

Cited by 369

Stable weights that balance covariates for estimation with incomplete outcome data

Zubizarreta, J. R. (2015) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 369

Performance of Screening and Diagnostic Tests: Application of Receiver Operating Characteristic Analysis

Murphy, J. M. (1987) · Archives of General Psychiatry

Statistical Methods in EpidemiologyPsychological Testing and Assessment

Cited by 367

Quadratic differentials and foliations

Hubbard, J., & Masur, H. (1979) · Acta Mathematica

Mathematical Dynamics and FractalsGeometric and Algebraic Topology

Cited by 367

Adaptive increase in sample size when interim results are promising: a practical guide with examples

Mehta, C. R., & Pocock, S. J. (2011) · Statistics in Medicine

Statistical Methods in Clinical TrialsStatistical Methods and Bayesian Inference

Cited by 367

The Promise and Pitfalls of Differences-in-Differences: Reflections on 16 and Pregnant and Other Applications

Kahn-Lang, A., & Lang, K. (2020) · Journal of Business & Economic Statistics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 367

Upscaling: a review

Farmer, C. L. (2002) · International Journal for Numerical Methods in Fluids

Advanced Mathematical Modeling in EngineeringEnhanced Oil Recovery Techniques

Cited by 366

Designing Randomised Trials in Health, Education and the Social Sciences

Torgerson, D. J., & Torgerson, C. J. (2008) · Palgrave Macmillan UK eBooks

Statistical Methods in Clinical TrialsOptimal Experimental Design Methods

Cited by 366

Multiplicity in randomised trials I: endpoints and treatments

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

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 366

Low Moments for Small Samples: A Comparative Study of Order Statistics

Hastings, C., Mosteller, F., Tukey, J. W., & Winsor, C. P. (1947) · The Annals of Mathematical Statistics

Statistical Distribution Estimation and ApplicationsProbability and Statistical Research

Cited by 366

Different methods for testing moderated mediation models: competitors or backups?

WEN, Z., & YE, B. (2014) · Acta Psychologica Sinica

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 363

Assessment and Control for Confounding by Indication in Observational Studies

Psaty, B. M., Koepsell, T. D., Lin, D., Weiss, N. S., Siscovick, D. S., Rosendaal, F. R., Pahor, M., & Furberg, C. D. (1999) · Journal of the American Geriatrics Society

Advanced Causal Inference TechniquesStatistical Methods in Epidemiology

Cited by 363

On the existence of a connection with curvature zero

Milnor, J. (1958) · Commentarii Mathematici Helvetici

Advanced Differential Geometry ResearchGeometric Analysis and Curvature Flows

Cited by 363

Graphical assessment of internal and external calibration of logistic regression models by using loess smoothers

Austin, P. C., & Steyerberg, E. W. (2014) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 362

Statistics notes. Treatment allocation in controlled trials: why randomise?

Altman, D. G., & Bland, J. M. (1999) · BMJ

Statistical Methods in Clinical TrialsAdvanced Causal Inference Techniques

Cited by 362