Avoid lost discoveries, because of violations of standard assumptions, by using modern robust statistical methods

Journal of Clinical Epidemiology

Volumn 66, Issue 3, 2013, Pages 319-329

  Wilcox, Rand ^a   Carlson, Mike ^a   Azen, Stan ^b   Clark, Florence ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Heteroscedasticity; Occupational therapy; Outliers; Robust methods; Violation of assumptions; Well Elderly study

Indexed keywords

ACCURACY; ARTICLE; CORRELATION COEFFICIENT; EFFECT SIZE; LIFE SATISFACTION; METHODOLOGY; NORMAL DISTRIBUTION; OUTCOME VARIABLE; PREDICTOR VARIABLE; PRIORITY JOURNAL; QUALITY OF LIFE; SHORT FORM 36; SOCIAL STATUS; STATISTICAL ANALYSIS;

DATA INTERPRETATION, STATISTICAL; HUMANS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; STATISTICS AS TOPIC; TREATMENT OUTCOME;

EID: 84872790538     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2012.09.003     Document Type: Article

References (29)

1. R.R. Wilcox Introduction to robust estimation and hypothesis testing 3rd ed. 2012 Elsevier Academic Press Burlington, MA
2. F.R. Hampel, E.M. Ronchetti, P.J. Rousseeuw, and W.A. Stahel Robust statistics: the approach based on influence functions 1986 Wiley New York
3. D.C. Hoaglin, F. Mosteller, and J.W. Tukey Understanding robust and exploratory data analysis 1983 Wiley New York
4. D.C. Hoaglin, F. Mosteller, and J.W. Tukey Exploring data tables, trends, and shapes 1985 Wiley New York
5. P. Huber, and E.M. Ronchetti Robust statistics 2nd ed. 2009 Wiley New York
6. R.A. Maronna, M.A. Martin, and V.J. Yohai Robust statistics: theory and methods 2006 Wiley New York
7. R.G. Staudte, and S.J. Sheather Robust estimation and testing 1990 Wiley New York
8. J.W. Tukey A survey of sampling from contaminated normal distributions I. Olkin, Contributions to probability and statistics 1960 Stanford University Press Stanford, CA 448 485
9. J. Cohen Statistical power analysis for the behavioral sciences 2nd ed. 1988 Academic Press New York
10. R.J. Shavelson Statistical reasoning for the behavioral sciences 1988 Allyn and Bacon Needham Heights, MA p. 266
11. R.N. Goldman, and J.S. Weinberg Statistics an introduction 1985 Prentice-Hall Englewood Cliffs, NJ p. 252
12. D.V. Huntsberger, and P. Billingsley Elements of statistical inference 5th ed. 1981 Allyn and Bacon Boston, MA
13. R.A. Cribbie, L. Fiksenbaum, H.J. Keselman, and R.R. Wilcox Effects of nonnormality on test statistics for one-way independent groups designs Br J Math Stat Psychol 65 2012 56 73
14. N.A. Cressie, and H.J. Whitford How to use the two sample t-test Biometrical J 28 1986 131 148
15. B.L. Welch The significance of the difference between two means when the population variances are unequal Biometrika 29 1938 350 362
16. A. Hand A history of mathematical statistics from 1750 to 1930 1998 Wiley New York
17. J.L. Rosenberger, and M. Gasko Comparing location estimators: trimmed means, medians, and trimean D. Hoaglin, F. Mosteller, J. Tukey, Understanding robust and exploratory data analysis 1983 Wiley New York 297 336
18. G.E. Box, and D.R. Cox An analysis of transformations J Roy Stat Soc B 26 1964 211 252 1964
19. R.M. Sakia The Box-Cox transformation: a review The Statistician 41 1992 169 178
20. K.A. Doksum, and C.-W. Wong Statistical tests based on transformed data J Am Stat Assoc 78 1983 411 417
21. V. Wood, M.L. Wylie, and B. Sheafor An analysis of short self-report measure of life satisfaction: correlation with rater judgments J Gerontol 24 1969 465 469
22. W.S. Cleveland Robust locally-weighted regression and smoothing scatterplots J Am Stat Assoc 74 1979 829 836 1979
23. J. Algina, H.J. Keselman, and R.D. Penfield An alternative to Cohen's standardized mean difference effect size: a robust parameter and confidence interval in the two independent groups case Psychol Methods 10 2005 317 328
24. R.R. Wilcox, and T. Tian Measuring effect size: a robust heteroscedastic approach for two or more groups J Appl Stat 38 2011 1359 1368
25. J. Jackson, D. Mandel, J. Blanchard, M. Carlson, B. Cherry, and S. Azen Confronting challenges in intervention research with ethnically diverse older adults: the USC Well Elderly II trial Clin Trials 6 2009 90 101
26. J.E. Ware, M. Kosinski, and J.E. Dewey How to score version two of the SF-36 Health Survey 2000 QualityMetric Lincoln, RI
27. L.S. Radloff The CES-D Scale: a self-report depression scale for research in the general population Appl Psychol Meas 1 1977 385 401
28. R. Koenker, and P. Ng Inequality constrained quantile regression Sankhya Indian J Stat 67 2005 418 440
29. X. He, and L.-X. Zhu A lack-of-fit test for quantile regression J Am Stat Assoc 98 2003 1013 1022