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Mathematics

D-Index
57
Citations
17816
World Ranking
673
National Ranking
340

Overview

Rand R. Wilcox is affiliated with the University of Southern California in the United States. Their research primarily focuses on the field of Mathematics, with particular emphasis on Statistics and Probability. Within these areas, they have contributed extensively to subfields including Management Science and Operations Research, Statistics, Probability and Uncertainty, Physiology, and Public Health, Environmental and Occupational Health.

The scientist's work covers several main topics, notably Advanced Statistical Methods and Models, Statistical Methods and Inference, Statistical Methods in Clinical Trials, Statistical Methods and Bayesian Inference, Optimal Experimental Design Methods, Advanced Statistical Process Monitoring, and Physical Activity and Health.

Rand R. Wilcox has published multiple recent papers in well-regarded journals. These include:

  • Review and recommendations for univariate statistical analysis of spherical equivalent prediction error for IOL power calculations, 2020, Journal of Cataract & Refractive Surgery
  • Sedentary Behavior and Incident Dementia Among Older Adults, 2023, JAMA
  • The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R, 2021, Advances in Methods and Practices in Psychological Science
  • Leisure-time sedentary behaviors are differentially associated with all-cause dementia regardless of engagement in physical activity, 2022, Proceedings of the National Academy of Sciences
  • Reaction Times and other Skewed Distributions, 2020, Meta-Psychology

The frequent co-authors collaborating with Rand R. Wilcox include:

  • David A. Raichlen
  • M. Katherine Sayre
  • Pradyumna K. Bharadwaj
  • Yann C. Klimentidis
  • Mark H. C. Lai

Prominent venues where Rand R. Wilcox has published multiple works are:

  • Journal of Data Science
  • Communications in Statistics - Simulation and Computation
  • International Journal of Statistics and Probability
  • Journal of Modern Applied Statistical Methods
  • Journal of Cataract & Refractive Surgery

Best Publications

  • Introduction to Robust Estimation and Hypothesis Testing

    Rand R. Wilcox

  • Robust statistical methods in R using the WRS2 package.

    Patrick Mair;Rand Wilcox

  • Modern robust data analysis methods: measures of central tendency.

    Rand R. Wilcox;H. J. Keselman

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

    Cyril R Pernet;Rand R Wilcox;Guillaume A Rousselet

  • Effectiveness of a lifestyle intervention in promoting the well-being of independently living older people: results of the Well Elderly 2 Randomised Controlled Trial

    Florence Clark;Jeanne Jackson;Mike Carlson;Chih Ping Chou

  • Applying Contemporary Statistical Techniques

    Rand R Wilcox

  • Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy

    Rand R. Wilcox

  • Fundamentals of Modern Statistical Methods

    Rand R. Wilcox

  • Robust statistical methods: a primer for clinical psychology and experimental psychopathology researchers

    Andy P. Field;Rand R. Wilcox

  • How many discoveries have been lost by ignoring modern statistical methods

    Rand R. Wilcox

  • New designs in analysis of variance.

    Rand R. Wilcox

  • The statistical implications of pre-test and Stein-rule estimators in econometrics

    Unknown

  • Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction

    Rand R. Wilcox

  • Kolmogorov–Smirnov Test

    Unknown

  • Beyond differences in means: robust graphical methods to compare two groups in neuroscience

    Guillaume A. Rousselet;Cyril R. Pernet;Rand R. Wilcox

  • A Generally Robust Approach for Testing Hypotheses and Setting Confidence Intervals for Effect Sizes

    H. J. Keselman;James Algina;Lisa M. Lix;Rand R. Wilcox

  • Measuring effect size: a robust heteroscedastic approach for two or more groups

    Rand R. Wilcox;Tian S. Tian

  • The New and Improved Two-Sample t Test

    H.J. Keselman;Abdul R. Othman;Rand R. Wilcox;Katherine Fradette

  • New monte carlo results on the robustness of the anova f, w and f statistics

    Rand R. Wilcox;Ventura L. Char in;Karen L. Thompson

  • New Statistical Procedures for the Social Sciences.

    R. Iyer;Rand R. Wilcox

  • The goals and strategies of robust methods

    Rand R. Wilcox

  • ANOVA: A Paradigm for Low Power and Misleading Measures of Effect Size?

    Rand R. Wilcox

  • Statistics for the Social Sciences

    Unknown

Frequent Co-Authors

H. J. Keselman
H. J. Keselman University of Manitoba
Guillaume A. Rousselet
Guillaume A. Rousselet University of Glasgow
James Algina
James Algina University of Florida
Cyril Pernet
Cyril Pernet Copenhagen University Hospital
Douglas A. Granger
Douglas A. Granger University of California, Irvine
Lisa M. Lix
Lisa M. Lix University of Manitoba
Chih-Ping Chou
Chih-Ping Chou University of Southern California
Robert M. Sapolsky
Robert M. Sapolsky Stanford University
Neda Jahanshad
Neda Jahanshad University of Southern California
Sarah E. Medland
Sarah E. Medland QIMR Berghofer Medical Research Institute

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