| Introduction to robust estimation and hypothesis testing RR Wilcox Academic press, 2012 | 4288 | 2012 |
| Fundamentals of modern statistical methods: Substantially improving power and accuracy RR Wilcox Springer, 2010 | 1165 | 2010 |
| Robust statistical methods in R using the WRS2 package P Mair, R Wilcox Behavior research methods 52, 464-488, 2020 | 988 | 2020 |
| Applying contemporary statistical techniques RR Wilcox Elsevier, 2003 | 684 | 2003 |
| Robust correlation analyses: false positive and power validation using a new open source matlab toolbox CR Pernet, R Wilcox, GA Rousselet Frontiers in psychology 3, 606, 2013 | 565 | 2013 |
| Effectiveness of a lifestyle intervention in promoting the well-being of independently living older people: results of the Well Elderly 2 Randomised Controlled Trial F Clark, J Jackson, M Carlson, CP Chou, BJ Cherry, M Jordan-Marsh, ... J Epidemiol Community Health 66 (9), 782-790, 2012 | 562 | 2012 |
| Modern robust data analysis methods: measures of central tendency. RR Wilcox, HJ Keselman Psychological methods 8 (3), 254, 2003 | 552 | 2003 |
| Modern statistics for the social and behavioral sciences: A practical introduction R Wilcox Chapman and Hall/CRC, 2017 | 509 | 2017 |
| How many discoveries have been lost by ignoring modern statistical methods? RR Wilcox American psychologist 53 (3), 300, 1998 | 469 | 1998 |
| Robust statistical methods: A primer for clinical psychology and experimental psychopathology researchers AP Field, RR Wilcox Behaviour research and therapy 98, 19-38, 2017 | 435 | 2017 |
| New designs in analysis of variance RR Wilcox Annual review of psychology 38 (1), 29-60, 1987 | 377 | 1987 |
| Statistics for the social sciences. RR Wilcox Academic Press, 1996 | 358 | 1996 |
| New statistical procedures for the social sciences: Modern solutions to basic problems RR Wilcox Psychology Press, 2013 | 334 | 2013 |
| Beyond differences in means: robust graphical methods to compare two groups in neuroscience GA Rousselet, CR Pernet, RR Wilcox European Journal of Neuroscience 46 (2), 1738-1748, 2017 | 208 | 2017 |
| New monte carlo results on the robustness of the anova f, w and f statistics RR Wilcox, VL Char1in, KL Thompson Communications in Statistics-Simulation and Computation 15 (4), 933-943, 1986 | 203 | 1986 |
| A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes. HJ Keselman, J Algina, LM Lix, RR Wilcox, KN Deering Psychological methods 13 (2), 110, 2008 | 177 | 2008 |
| ANOVA: A paradigm for low power and misleading measures of effect size? RR Wilcox Review of Educational Research 65 (1), 51-77, 1995 | 177 | 1995 |
| Basic statistics: understanding conventional methods and modern insights RR Wilcox Oxford University Press, 2009 | 173 | 2009 |
| The New and Improved Two-Sample t Test HJ Keselman, AR Othman, RR Wilcox, K Fradette Psychological Science 15 (1), 47-51, 2004 | 167 | 2004 |
| Measuring effect size: a robust heteroscedastic approach for two or more groups RR Wilcox, TS Tian Journal of Applied Statistics 38 (7), 1359-1368, 2011 | 166 | 2011 |
