Takesi Hayakawa, Makoto Aoshima, Kunio Shimizu (editors): MSI-2000: Multivariate Statistical Analysis in Honor of Professor Minoru Siotani on his 70th Birthday. Volumes I and II of Proceedings of the Multivariate Statistical Inference 2000 Conference, also issued as no. 3 and 4 of vol. 15 (1995) and no. 1 and 2 of vol. 16 (1996) of the American Journal of Mathematical and Management Sciences, 270 and 238 pp., American Sciences Press, Syracuse, 1995, 1996, $ 125,— each

1997 ◽  
Vol 39 (7) ◽  
pp. 776-776
Author(s):  
Ekkehard Glimm
Keyword(s):  
Statistical Analysis ◽  
Statistical Inference ◽  
Multivariate Statistical Analysis ◽  
70Th Birthday ◽  
Multivariate Statistical

The Problem of Multiple Inference in Psychiatric Research

1985 ◽  
Vol 19 (3) ◽  
pp. 265-274 ◽  
Author(s):  
Wayne Hall ◽  
Kevin Bird
Keyword(s):  
Statistical Analysis ◽  
Statistical Inference ◽  
Multivariate Statistical Analysis ◽  
Research Study ◽  
Psychiatric Research ◽  
Exploratory Research ◽  
Multivariate Statistical ◽  
Advantages And Disadvantages ◽  
Multivariate Study ◽  
Study Designs

This paper deals with the problem of multiple inference in psychiatric research, an issue which arises whenever a researcher has to make more than one statistical inference in a single research study. It frequently arises in psychiatric research because of multivariate study designs, with subjects being measured on more than one dependent variable with the intention of studying differences between groups in mean scores. The disadvantages of the commonly adopted strategy of using multiple univariate tests (e.g. multiple t-tests) are outlined. Two broad strategies — Bonferroni-adjusted univariate tests and multivariate statistical analysis — are introduced. Their advantages and disadvantages are discussed in terms of their usefulness in confirmatory and exploratory research in psychiatry.

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