Check mathematics papers: citations, claims and retractions

On space of integrable quantum field theories

Smirnov, F. A., & Zamolodchikov, A. B. (2017) · Nuclear Physics B

Algebraic structures and combinatorial modelsBlack Holes and Theoretical Physics

Cited by 642

On the duality condition for quantum fields

Bisognano, J. J., & Wichmann, E. H. (1976) · Journal of Mathematical Physics

Advanced Operator Algebra ResearchQuantum and Classical Electrodynamics

Cited by 642

Sample size slippages in randomised trials: exclusions and the lost and wayward.

Schulz, K. F., & Grimes, D. A. (2002) · The Lancet

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 642

ESMO-magnitude of clinical benefit scale version 1.1

Cherny, N. I., Dafni, U., Bogaerts, J., Latino, N. J., Pentheroudakis, G., Douillard, J.-Y., Tabernero, J., Zielinski, C., Piccart, M. J., & de Vries, E. G. E. (2017) · Annals of Oncology

Statistical Methods in Clinical TrialsHealth Systems, Economic Evaluations, Quality of Life

Cited by 641

Statistical Analysis of List Experiments

Blair, G., & Imai, K. (2012) · Political Analysis

Survey Sampling and Estimation TechniquesSurvey Methodology and Nonresponse

Cited by 639

The Relationship Between Working Memory and Mathematical Problem Solving in Children at Risk and Not at Risk for Serious Math Difficulties.

Swanson, H. L., & Beebe-Frankenberger, M. (2004) · Journal of Educational Psychology

Cognitive and developmental aspects of mathematical skillsDevelopmental and Educational Neuropsychology

Cited by 638

The calmodulin pathway and evolution of elongated beak morphology in Darwin's finches

Abzhanov, A., Kuo, W. P., Hartmann, C., Grant, B. R., Grant, P. R., & Tabin, C. J. (2006) · Nature

Morphological variations and asymmetryDevelopmental Biology and Gene Regulation

Cited by 636

Substantial effective sample sizes were required for external validation studies of predictive logistic regression models

Vergouwe, Y., Steyerberg, E. W., Eijkemans, M. J. C., & Habbema, J. D. F. (2005) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyStatistical Methods in Clinical Trials

Cited by 636

Influence functions of the Spearman and Kendall correlation measures

Croux, C., & Dehon, C. (2010) · Statistical Methods & Applications

Advanced Statistical Methods and ModelsFinancial Risk and Volatility Modeling

Cited by 634

A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods

BURMAN, P. (1989) · Biometrika

Statistical Methods and InferenceMachine Learning and Data Classification

Cited by 634

Inference with “Difference in Differences” with a Small Number of Policy Changes

Conley, T. G., & Taber, C. R. (2011) · Review of Economics and Statistics

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 633

Stratified Randomization for Clinical Trials

Kernan, W. N., Viscoli, C. M., Makuch, R. W., Brass, L. M., & Horwitz, R. I. (1999) · Journal of Clinical Epidemiology

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 627

Longitudinal Modeling with Randomly and Systematically Missing Data: A Simulation of Ad Hoc, Maximum Likelihood, and Multiple Imputation Techniques

Newman, D. A. (2003) · Organizational Research Methods

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 626

Removing allometric effects of body size in morphological analysis

LLEONART, J., SALAT, J., & TORRES, G. J. (2000) · Journal of Theoretical Biology

Morphological variations and asymmetryStatistical Methods and Applications

Cited by 625

On the Use of Two-Way Fixed Effects Regression Models for Causal Inference with Panel Data

Imai, K., & Kim, I. S. (2021) · Political Analysis

Advanced Causal Inference TechniquesSpatial and Panel Data Analysis

Cited by 623

Bootstrap Methods for Developing Predictive Models

Austin, P. C., & Tu, J. V. (2004) · The American Statistician

Statistical Methods and InferenceStatistical Methods in Epidemiology

Cited by 622

Predictive value of statistical models.

Van Houwelingen, J. C., & Le Cessie, S. (1990) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 621

Causal inference and the data-fusion problem

Bareinboim, E., & Pearl, J. (2016) · Proceedings of the National Academy of Sciences

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 621

Sensitivity analysis for average treatment effects

Becker, S. O., & Caliendo, M. (2007) · The Stata Journal: Promoting communications on statistics and Stata

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 620

Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review

Chan, J. Y.-L., Leow, S. M. H., Bea, K. T., Cheng, W. K., Phoong, S. W., Hong, Z.-W., & Chen, Y.-L. (2022) · Mathematics

Advanced Statistical Methods and ModelsStatistical Methods and Applications

Cited by 617

COVID-19 mortality risk for older men and women

Yanez, N. D., Weiss, N. S., Romand, J.-A., & Treggiari, M. M. (2020) · BMC Public Health

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 616

Logistic regression in the medical literature:

Bagley, S. C., White, H., & Golomb, B. A. (2001) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 616

The Nonparametric Identification of Treatment Effects in Duration Models

Abbring, J. H., & van den Berg, G. J. (2003) · Econometrica

Advanced Causal Inference TechniquesStatistical Methods and Inference

Cited by 616

Adaptive approximate Bayesian computation

Beaumont, M. A., Cornuet, J.-M., Marin, J.-M., & Robert, C. P. (2009) · Biometrika

Markov Chains and Monte Carlo MethodsStatistical Methods and Bayesian Inference

Cited by 614