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Polytomous logistic regression analysis of the General Health Questionnaire and the Present State Examination

Published online by Cambridge University Press:  09 July 2009

F. W. Wilmink  and
T. A. B. Snijders
F. W. Wilmink*
Affiliation:
Departments of Social Psychiatry and Statistics and Measurement Theory, University of Groningen, The Netherlands
T. A. B. Snijders
Affiliation:
Departments of Social Psychiatry and Statistics and Measurement Theory, University of Groningen, The Netherlands
*
1Address for correspondence: Dr F. W Wilmink, Psychiatric University Clinic, Oostersingel 59, 9713 EZ Groningen, The Netherlands.
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Synopsis

First, two examples of dichotomous logistic regression analysis are presented. The probability of being a psychiatric case according to the Present State Examination is predicted from the total score on the General Health Questionnaire and from the general practitioner's judgement on the presence of a mental health problem. Subjects were 292 primary care attenders. Results are compared with those from prior studies.

Next, the extension to the polytomous case is demonstrated. The probability of being at any given level of the Index of Definition (computed from PSE data) is estimated from the General Health Questionnaire total score by an ordered polytomous logistic regression model. Several applications of the polytomous logistic regression model are discussed. These range from estimating the proportion of psychiatric cases among individuals who refuse to be interviewed to the formulation of sampling schemes which can be expected to reduce costs while at the same time yielding optimal information for testing specific hypotheses.

Type
Original Articles
Information
Psychological Medicine , Volume 19 , Issue 3 , August 1989 , pp. 755 - 764
Copyright
Copyright © Cambridge University Press 1989

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