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Psychiatric Drug Research: Sample Size Requirements for One vs Two Raters

Psychiatric Drug Research: Sample Size Requirements for One vs Two Raters Abstract IN THE evaluation of psychiatric drug treatments, two types of errors are sometimes present in conclusions based upon statistical analyses of data. It can be concluded that the treatments differ when, in fact, they do not; or it can be concluded that the treatments do not differ when, in fact, they do. In the past, most concern in the analysis of such data has been with the possibility of erroneously concluding that the treatments differ when they do not. Too little attention has been paid to the power of tests in detecting true treatment differences where they exist. When sample sizes are too small, statistical tests will fail to indicate significant differences between drug treatments, even though real and important differences exist. The purpose of this article is to provide estimates of sample size required for doubleblind controlled studies using one, or two independent References 1. Overall, J.E.; Gorham, D.R.: The Brief Psychiatric Rating Scale , Psychol Rep 10:799-812, 1962.Crossref 2. Scheffe, H.: The Analysis of Variance , New York: John Wiley and Sons, 1963. 3. Winer, B.J.: Statistical Principles in Experimental Design , New York: McGraw-Hill Book Co. Inc., 1962. 4. Overall, J.E., and Dalal, S.N.: Design of Experiments to Maximize Power Relative to Cost , Psychol Bull 64:339-350, 1965.Crossref 5. Patnaik, P.B.: The Non-Central Chi-Square and F-Distributions and Their Applications , Biometrika 36:220-232, 1949. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of General Psychiatry American Medical Association

Psychiatric Drug Research: Sample Size Requirements for One vs Two Raters

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Publisher
American Medical Association
Copyright
Copyright © 1967 American Medical Association. All Rights Reserved.
ISSN
0003-990X
eISSN
1598-3636
DOI
10.1001/archpsyc.1967.01730200020004
Publisher site
See Article on Publisher Site

Abstract

Abstract IN THE evaluation of psychiatric drug treatments, two types of errors are sometimes present in conclusions based upon statistical analyses of data. It can be concluded that the treatments differ when, in fact, they do not; or it can be concluded that the treatments do not differ when, in fact, they do. In the past, most concern in the analysis of such data has been with the possibility of erroneously concluding that the treatments differ when they do not. Too little attention has been paid to the power of tests in detecting true treatment differences where they exist. When sample sizes are too small, statistical tests will fail to indicate significant differences between drug treatments, even though real and important differences exist. The purpose of this article is to provide estimates of sample size required for doubleblind controlled studies using one, or two independent References 1. Overall, J.E.; Gorham, D.R.: The Brief Psychiatric Rating Scale , Psychol Rep 10:799-812, 1962.Crossref 2. Scheffe, H.: The Analysis of Variance , New York: John Wiley and Sons, 1963. 3. Winer, B.J.: Statistical Principles in Experimental Design , New York: McGraw-Hill Book Co. Inc., 1962. 4. Overall, J.E., and Dalal, S.N.: Design of Experiments to Maximize Power Relative to Cost , Psychol Bull 64:339-350, 1965.Crossref 5. Patnaik, P.B.: The Non-Central Chi-Square and F-Distributions and Their Applications , Biometrika 36:220-232, 1949.

Journal

Archives of General PsychiatryAmerican Medical Association

Published: Feb 1, 1967

References