The logistic regression analysis of psychiatric data.
Logistic regression is presented as the statistical method of choice for analyzing the effects of independent variables on a binary dependent variable in terms of the probability of being in one of its two categories vs the other. The method, which must be applied by computer, is illustrated on data from the DSM-III field trials. The dependent variable is treatment with behaviourally-oriented psychotherapy vs treatment with psychoanalytically-oriented psychotherapy, and the independent variables are several patient and clinician characteristics. Like ordinary multiple regression, the method is shown capable of analyzing categorical as well as continuous independent variables. Unlike ordinary multiple regression when applied to binary data, logistic regression analysis necessarily yields estimated probabilities that lie between 0 and 1. The measure of association derived from logistic regression analysis, the odds ratio, is defined. Methods for making inferences about it are presented and illustrated.
D001291:Attitude of Health Personnel; D001521:Behavior Therapy; D006801:Humans; D001523:Mental Disorders / Q000628:therapy*; D008962:Models, Theoretical; D010820:Physicians / Q000523:psychology; D011570:Psychiatry / Q000379:methods*; D011575:Psychoanalytic Therapy; D012044:Regression Analysis; D012107:Research Design