Faculty


Rand Wilcox

Professor of Psychology

Contact Information
E-mail: rwilcox@usc.edu
Phone: (213) 740-2258
Office: SGM 618

LINKS
Curriculum Vitae
Personal Website
 

Education

  • B.A. Mathematics, University of California, Santa Barbara
  • M.A. Mathematics, University of California, Santa Barbara
  • Ph.D. Psychometrics, University of California, Santa Barbara, 1976

  • Description of Research

    Summary Statement of Research Interests
    Professor Wilcox's main research interests are statistical methods, particularly robust methods for comparing groups and studying associations. He also collaborates with researchers in occupational therapy, gerontology, biology and psychology
    Research Keywords
    statistics, quantitative methods, robust inferential methods

    Publications


    Book
    • Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing, 3rd Ed. Academic Press.
    • Wilcox, R. (2012). Modern Statistics for the Social and Behavioral Sciences: A Practical Introduction. CRC Press.
    • Wilcox, R. R. (2010). Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy, Springer, 2nd Ed.
    • Wilcox, R. R. (2009). Basics Statistics: Understanding Conventional Methods and Modern Insights. New York: Oxford.

    Book Chapter
    • Wilcox, R. R. (2009). Nonparameric Estimation. (Vol. NA). pp. 153-182. Wiley.
    • Wilcox, R. R. (2008). Sample size and power. Oxford: Oxford University Press.
    • Wilcox, R. R., Keselman, H. (2006). A skipped multivariate measure of location: One- and two-sample hypothesis testing. pp. p.125-138. IAP.
    • Wilcox, R. R. (2004). Extension of Hochberg's two-stage multiple comparison method. pp. p.371-380. New York: Marcel Dekker.

    Journal Article
    • Wilcox, R., Keselman, H. (2011). Modern regression methods that can substantially increase power and provide a more accurate understanding of associations. European Journal of Personality.
    • Ozdemir, F. (2011). New results on the small-sample properties of some robust univariate estimators. Communications in Statistics--Simulation and Computations.
    • Wilcox, R., Tian, T. (2011). Measuring effect size: A robust heteroscedastic approach for two or more groups. Journal of Applied Statistics. Vol. 38, pp. 1359--1368.
    • Victoroff, J., Quoto, S., Adelman, J., Celinska, M., Stern, N., Wilcox, R. (2011). Support for Religio-Political Aggression among Teenaged Boys in Gaza: Part II: Neuroendocinological Findings. Aggressive Behavior.
    • Carlson, M., Wilcox, R. (2011). Psychometric Properties of Reverse-Scored Items on the CES-D in a Sample of Ethnically Diverse Older Adults. Psycholgical Assessment.
    • Wilcox, R. (2011). Comparing two dependent groups: Dealing with missing values. Journal of Data Science.
    • Ng, M. (2010). The small-sample efficiency of some recently proposed multivariate measures of location. Journal of Modern and Applied Statistical Methods. Vol. 9, pp. 28-42.
    • Ng, M., Wilcox, R. (2010). Comparing the slopes of regression lines. British Journal of Mathematical and Statistical Psychology.
    • Wilcox, R. (2010). Measuring and detecting associations: Methods based on robust regression estimators that allow curvature. British Journal of Mathematical and Statistical Psychology.
    • Tian, T., Wilcox, R., James, G. (2010). Data Reduction in Classification: A Simulated Annealing Based Projection Method. Statistical Analysis and Data Mining.
    • Tian, T. (2010). A multivariate adaptive stochastic search method for dimensionality reduction in classification. Annals of Applied Statistics. Vol. 4, pp. 340--365.
    • Wilcox, R. (2010). Regression: Comparing predictors and groups of predictors based on robust measures of association. Journal of Data Science.
    • Ng, M., Wilcox, R. (2010). Bootstrap methods for comparing independent regression slopes. British Journal of Mathematical and Statistical Psychology.
    • Wilcox, R. (2010). Regression: Comparing predictors and groups of predictors based on robust measures of association. Journal of Data Science. Vol. 8, pp. 429-441.
    • Ng, M., Wilcox, R. (2010). Comparing the slopes of regression lines. British Journal of Mathematical and Statistical Psychology. Vol. 63, pp. 319-340.
    • Clark, F. (2010). Effectiveness of a lifestyle intervention in promoting the wellbeing of independently living older people: results of the well elderly 2 randomised controlled trial. Journal of Epidemiology and Community Health.
    • Wilcox, R. (2010). Comparing robust nonparametric regression lines via regression depth. Journal of Statistical Computation and Simulation,. Vol. 80, pp. 379-387.
    • Ng, M., Wilcox, R. R. (2009). Level robust methods based on the least squares regression line. Journal of Modern Applied Statistical Methods/JMASM.
    • Wilcox, R. (2009). Comparing robust measures of association estimated via a smoother. Communications in Statistics--Simulation and Computation. Vol. 38, pp. 1969-1979.
    • Wilcox, R. R. (2009). Estimating explanatory power in a simple regression model via smoothers. Journal of Applied Statistics. Vol. NA
    • Wilcox, R. (2009). Comparing Pearson correlations: Dealing with heteroscedastiticy and non-normality. Communications in Statistics--Simulation and Computation. Vol. 38, pp. 2220-2234.
    • Tian, T., James, G., Wilcox, R. (2009). A multivariate adaptive stochastic search method for dimensionality reduction. Annals of Applied Statistics.
    • Wilcox, R. (2009). Robust multivariate regression when there is heteroscedasticity. Communications in Statistics}-- {\em Simulation and Computation,.
    • Wilcox, R. (2009). Robust ancova using a smoother with bootstrap bagging. British Journal of Mathematical and Statistical Psychology}. Vol. 62, pp. 427--437.
    • Wilcox, R. (2009). Robust multivariate regression when there is heteroscedasticity. Communications in Statistics--Simulation and Computation. pp. 1--13.
    • Wilcox, R. R. (2009). Robust ancova using a smoother with bootstrap bagging. British Journal of Mathematical and Statistical Psychology.
    • Wilcox, R. (2009). Comparing robust nonparametric regression lines via regression depth. Journal of Statistical Computation and Simulation.
    • Wilcox, R. (2008). Regression: Comparing predictors and groups of predictors based on robust measures of association. Journal of Data Science.
    • Wilcox, R. R. (2008). Robust principal components: A generalized variance perspective. Behavioral Research Methods. Vol. 40, pp. 102-108.
    • Wilcox, R. R., Tian, T. (2008). Comparing dependent correlations. Journal of General Psychology. Vol. NA
    • Wilcox, R. R. (2008). Some small-sample properties of some recently proposed multivariate outlier detection techniques. Journal of Statistical Computation and Simulation.
    • Wilcox, R. (2008). Post-hoc analyses in multiple regression based on prediction error. Journal of Applied Statistics.
    • Wilcox, R. R. (2008). Quantile regression: A simplified approach to a lack-of-fit test. Journal of Data Science.
    • Wilcox, R. R. (2007). ANCOVA: A robust omnibus test based on selected design points. Journal of Modern Applied Statistical Methods/JMASM. Vol. 5, pp. 14-21.
    • Wilcox, R. R. (2007). An Omnibus test when using a quantile regression estimator with multiple predictors. Journal of Modern and Applied Statistics.
    • Wilcox, R. R. (2007). Local measures of association: Estimating the derivative of the regression line. British Journal of Mathematical and Statistical Psychology/British Psychological Society. pp. p. NA.
    • Wilcox, R. R. (2007). Robust ANCOVA: Some small-sample results when there are multiple groups and multiple covariates. Journal of Applied Statistics. Vol. 34, pp. 353--364.
    • Fournier, B., Rupin, N., Bigerelle, M., Najjar, D., Iost, A., Wilcox, R. R. (2007). Estimating the parameters of a generalized lambda distribution. Computational Statistics & Data Analysis/Elsevier. pp. p.NA.
    • Keselman, H., Wilcox, R. R. (2007). Adaptive robust estimation and testing. British Journal of Mathematical and Statistical Psychology/British Psychological Society. pp. p. NA.
    • Wilcox, R. R. (2006). INFERENCES ABOUT THE COMPONENTS OF A GENERALIZED ADDITIVE MODEL. Journal of Modern Applied Statistical Methods/JMASM. pp. p.NA.
    • Mathiyakom, W., Mc Nitt-Gray, J. L., Wilcox, R. R. (2006). Regulation of angular impulse during forward translating tasks. Journal of Applied Biomechanics/Human Kinetics. Vol. NA
    • Mathiyakom, W., Mc Nitt-Gray, J. L., Wilcox, R. R. (2006). Lower extremity control and dynamics during backward angular impulse generation in backward translating tasks,. Experimental Brain Research. Vol. 169, pp. 377-388.
    • Wilcox, R. R. (2006). Quantile regression: On Inferences about the slopes corresponding to one, two or three quantiles . Journal of Modern Applied Statistical Methods/JMASM. pp. p.NA.
    • Wilcox, R. R. (2006). Inferences about regressioninteractions via a robust smoother with an application to cannabis problems. Journal of Modern Applied Statistical Methods/JMASM. Vol. 4, pp. 53–62..
    • Wilcox, R. R. (2006). Comparing medians. Computational Statistics & Data Analysis/Elsevier. Vol. 51, pp. 1934-1943.
    • Kowalchuk, R., Keselman, H., Algina, J., Wilcox, R. R. (2006). Multiple Comparison Procedures, Trimmed Means and Transformed Statistics. Journal of Modern Applied Statistical Methods/JMASM. pp. p. NA.
    • Wilcox, R. R. (2006). A note on inferences about the median of difference scores. Educational and Psychological Mesasurement/Sage. pp. p. 624-630.
    • Wilcox, R. R. (2006). CONFIDENCE INTERVALS FOR PREDICTION INTERVALS. Journal of Applied Statistics/Taylor and Francis. pp. p. 317-326.
    • Wilcox, R. R. (2006). Comparing robust generalized variances and comments on efficiency. Statistical Methodology/Elsevier. pp. p. 211-223.
    • Wilcox, R. R. (2006). Detecting heteroscedasticity in a simple regression model via quantile regression slopes. Journal of Statistical Computation and Simulation/Taylor and Francis. pp. p.705-712.
    • Wilcox, R. R. (2006). Pairwise comparisons of dependent groups based on medians. Computational Statistics & Data Analysis/Elsevier. pp. p2933-2941.
    • Smucker, S., Earleywine, M., Wilcox, R. R. (2006). Cannabis, Motivation, and Life Satisfaction. Substance Abuse, Treatment and Policy/NA. pp. p. NA.
    • Wilcox, R. R. (2006). Testing the hypothesis of a homoscedastic error term in simple, nonparametric regression. Educational and Psychological Mesasurement/Sage. pp. p. 85-92.
    • Wilcox, R. R. (2006). Graphical Methods for assessing effect size. Journal of Experimental Education/Heldref. pp. p. 353-367.
    • Wilcox, R. R. (2006). Some Results on Comparing Quantiles of Dependent Groups. Communications in Statistics-Simulation & Computation/Marcel Dekker. pp. p. in press.
    • Wilcox, R. R. (2005). An affine invariant rank-based method for comparing dependent groups. British Journal of Mathematical and Statistical Psychology/British Psychological Society. pp. p. 33--42.
    • Wilcox, R. R. (2005). Estimating the conditional variance of Y, given X, in a simple regression model. Journal of Applied Statistics/Taylor and Francis. pp. p.495--502.
    • Wilcox, R. R. (2005). A comparison of six smoothers when there are multiple predictors. Statistical Methodology/Elsevier. pp. p.49--57.
    • Wilcox, R. R. (2005). Within by Within ANOVA based on medians. Journal of Modern Applied Statistical Methods/JMASM. pp. p.53--62.
    • Wilcox, R. R. (2005). Comparing medians: An overview plus new results on dealing with heavy-tailed distributions. Journal of Experimental Education/Heldref. pp. p.249--263.
    • Wilcox, R. R. (2005). An approach to ANCOVA that allows multiple covariates, nonlinearity and heteroscedasticity. Educational and Psychological Mesasurement/Sage. Vol. 65, pp. 442-450..
    • Wilcox, R. R. (2005). Depth and a multivariate generalization of the Wilcoxon-Mann-Whitney test. American Journal of Mathematical and Management Sciences/American Sciences Press. Vol. 25, pp. 343-361.
    • Wilcox, R. R. (2004). Some results on extensions and modifications of the Theil-Sen estimator. British Journal of Mathematical and Statistical Psychology/British Psychological Society. pp. p. 265--280.
    • Othman, A., Wilcox, R. R. (2004). Comparing measures of the ``typical' score across treatment groups. British Journal of Mathematical and Statistical Psychology/British Psychological Society. pp. p. 215--234.
    • Wilcox, R. R. (2004). Inferences based on a skipped correlation coefficient. Journal of Applied Statistics/Taylor and Francis. pp. p.131--144.
    • Keselman, H., Wilcox, R. R. (2004). A power comparison of robust test statistics based on adaptive estimators. Journal of Modern Applied Statistical Methods/JMASM. pp. p. 27-38.
    • Wilcox, R. R. (2004). Multivariate Location: Robust estimators and inferences. Journal of Modern Applied Statistical Methods/JMASM. pp. p.2--12.
    • Wilcox, R. R. (2004). Kernel density estimators: An approach to understanding how groups differ. Understanding Statistics/Erlbaum. pp. p.333-348.
    • Wilcox, R. R. (2004). Robust Regression Methods:Achieving small standard errors when there is heteroscedasticity. Understanding Statistics/Erlbaum. pp. p.349--364.
    • Wilcox, R. R. (2004). An extension of Stein's two-stage method to pairwise comparisons among dependent groups based on trimmed means. Sequential Analysis/Marcel Dekker. pp. p. 63--74.
    • Keselman, H., Othman, A., Wilcox, R. R. (2004). The new and improved two-sample t test. Psychological Science/American Psychoologicl Society. pp. p. 47-51.


    Honors and Awards

    • USC Center for Excellence in Research, fellow, 7/1/2007-7/1/2010  
    • Fellow (or Equivalent) of National Society in Discipline, American Psychological Society, 1993-1994   
    • Fellow (or Equivalent) of National Society in Discipline, American Psychological Association, 1988-1989   
    • T. L. Saaty Award, 1984  

    Service to the Profession


    Editorships and Editorial Boards
    • Associate Editor, Communications in Statistic-Theory and Methods, 10/01/2006-  
    • Associate Editor, Communications in Statistics-Simulation and Computation, 10/01/2006-  
    • Editorial Board Member, British Journal of Mathematical and Statistical Psychology, 07/01/2002-  
    • Associate Editor, Computational Statistics and Data Analyses, 07/01/1998-  
    • Associate Editor, Psychometrika, 04/01/1983-  
    • Editorial Board Member, American Journal of Mathematical and Management Sciences, 1981-2011  
    • Editorial Board, Handbook Series on Computing and Statistics, 11/01/2006-01/01/2010  
    • Advisory Board Member, Journal of Experimental Education, 11/01/2006-01/01/2009  
    • Guest editor (special issue), Computational Statistics and Data Analyses, 2005-2006  
    • Editorial Board Member, Psychological Methods, 2001-2006  
    • Editorial Board Member, Journal of Personality and Social Psychology, 1991-1996  
    • Editorial Board Member, Journal of Educational Measurement, 1981-1996  
    • Editorial Board Member, Applied Psychological Measurement, 1980-1996  

    Professional Memberships
    • International Statistical Institute, 03/15/2005-  
    • International Association of Statistical Computing, 05/01/1997-  
    • Association for Psychological Science, 10/01/1989-  
    • British Psychological Society, 02/04/1987-  
    • American Statistical Association, 03/15/1973-  
    • Psychometric Society, 1973-  
    • Institute of Mathematical Statistics, 03/15/1973-01/01/2011  

    Reviewer for Publication
    • Psychological Methods, referee, 2012-2013   
    • Behavioral Research Methods, referee, Fall 2011   
    • Statistical Papers, referee, Fall 2011   
    • Technometrics, Statistics journal for the physical, chemical, and engineering sciences (referee), Fall 2011   
    • Behavioral Ecology and Sociobiolgy, Statistical methods, 2010-2011   
    • Journal of Neuroscience Methods, quantitative method in neuroscience, 2010-2011   
    • Methodology, review, 2009  
    • Applied Linquistics, Referee, 2006-2007   
    • Behavior Research Methods, referee, 2006-2007   
    • Journal of Classicificaton, referee, 2006-2007   
    • South African Statistics Journal, referee, 2006-2007   


  • Department of Psychology
  • University of Southern California
  • SGM 501
  • 3620 South McClintock Ave.
  • Los Angeles, CA 90089-1061