Check mathematics papers: citations, claims and retractions

Design approaches to experimental mediation

Pirlott, A. G., & MacKinnon, D. P. (2016) · Journal of Experimental Social Psychology

Advanced Causal Inference TechniquesPsychometric Methodologies and Testing

Cited by 575

Informing efficient randomised controlled trials: exploration of challenges in developing progression criteria for internal pilot studies

Avery, K. N. L., Williamson, P. R., Gamble, C., O'Connell Francischetto, E., Metcalfe, C., Davidson, P., Williams, H., & Blazeby, J. M. (2017) · BMJ Open

Statistical Methods in Clinical TrialsMeta-analysis and systematic reviews

Cited by 575

Regression and ordered categorical variables

Anderson, J. A. (1984) · Journal of the Royal Statistical Society Series B: Statistical Methodology

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 574

Taking Account of Time Lags in Causal Models

Gollob, H. F., & Reichardt, C. S. (1987) · Child Development

Statistical Methods and Bayesian InferencePsychometric Methodologies and Testing

Cited by 572

Natural Experiments: An Overview of Methods, Approaches, and Contributions to Public Health Intervention Research

Craig, P., Katikireddi, S. V., Leyland, A., & Popham, F. (2017) · Annual Review of Public Health

Advanced Causal Inference TechniquesEvaluation and Performance Assessment

Cited by 570

The analysis of designed experiments and longitudinal data by using smoothing splines

Verbyla, A. P., Cullis, B. R., Kenward, M. G., & Welham, S. J. (1999) · Journal of the Royal Statistical Society Series C: Applied Statistics

Statistical Methods and Bayesian InferenceOptimal Experimental Design Methods

Cited by 570

The Bagplot: A Bivariate Boxplot

Rousseeuw, P. J., Ruts, I., & Tukey, J. W. (1999) · The American Statistician

Advanced Statistical Methods and ModelsData Visualization and Analytics

Cited by 568

Tuning multiple imputation by predictive mean matching and local residual draws

Morris, T. P., White, I. R., & Royston, P. (2014) · BMC Medical Research Methodology

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 568

Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis

Twisk, J., de Boer, M., de Vente, W., & Heymans, M. (2013) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 568

On the Causal Interpretation of Race in Regressions Adjusting for Confounding and Mediating Variables

VanderWeele, T. J., & Robinson, W. R. (2014) · Epidemiology

Advanced Causal Inference TechniquesRace, Genetics, and Society

Cited by 567

Shrinkage Algorithms for MMSE Covariance Estimation

Chen, Y., Wiesel, A., Eldar, Y. C., & Hero, A. O. (2010) · IEEE Transactions on Signal Processing

Statistical Methods and InferenceDirection-of-Arrival Estimation Techniques

Cited by 567

Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

Pernet, C. R., Wilcox, R., & Rousselet, G. A. (2013) · Frontiers in Psychology

Advanced Statistical Methods and ModelsMultidisciplinary Science and Engineering Research

Cited by 566

Children's mathematical development: Research and practical applications.

Geary, D. C. (1994) · American Psychological Association eBooks

Cognitive and developmental aspects of mathematical skillsMathematics Education and Pedagogy

Cited by 565

Maximum likelihood estimation of the attributable fraction from logistic models.

Greenland, S., & Drescher, K. (1993) · Biometrics

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 565

A method for computing profile-likelihood-based confidence intervals

Venzon, D. J., & Moolgavkar, S. H. (1988) · Applied Statistics

Statistical Methods and InferenceStatistical Methods and Bayesian Inference

Cited by 565

Modelling recurrent events: a tutorial for analysis in epidemiology

Amorim, L. D., & Cai, J. (2015) · International Journal of Epidemiology

Probability and Statistical ResearchStatistical Methods and Inference

Cited by 564

Bounds on Treatment Effects from Studies with Imperfect Compliance

Balke, A., & Pearl, J. (1997) · Journal of the American Statistical Association

Advanced Causal Inference TechniquesStatistical Methods in Clinical Trials

Cited by 564

Blocked randomization with randomly selected block sizes

Efird, J. (2010) · International Journal of Environmental Research and Public Health

Statistical Methods in Clinical TrialsOptimal Experimental Design Methods

Cited by 564

Doing Bayesian Data Analysis: A Tutorial with R and BUGS

Barry, J. (2011) · Europe’s Journal of Psychology

Statistical Methods and Bayesian InferenceData Analysis with R

Cited by 563

Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research

Yu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022) · Neuron

Statistical Methods and Bayesian InferenceSpatial and Panel Data Analysis

Cited by 563

An introduction to convex optimization for communications and signal processing

Luo, Z.-Q., & Yu, W. (2006) · IEEE Journal on Selected Areas in Communications

Advanced Optimization Algorithms ResearchRisk and Portfolio Optimization

Cited by 562

Sample Size Calculations in Clinical Research

Chow, S.-C., Wang, H., & Shao, J. (2007) · Chapman & Hall/CRC eBooks

Statistical Methods in Clinical TrialsStatistical Methods in Epidemiology

Cited by 562

A comparison of the general linear mixed model and repeated measures ANOVA using a dataset with multiple missing data points

Krueger, C., & Tian, L. (2004) · Biological Research For Nursing

Statistical Methods and Bayesian InferenceAgriculture, Soil, Plant Science

Cited by 561

The use of multiple imputation for the analysis of missing data.

Sinharay, S., Stern, H. S., & Russell, D. (2001) · Psychological Methods

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 560