MULTIVARIATE PROBIT ANALYSIS - A NEGLECTED PROCEDURE IN MEDICAL STATISTICS

被引：79

作者：

LESAFFRE, E

MOLENBERGHS, G

机构：

[1] Biostatistical Centre, Department of Epidemiology, Leuven, B-3000

来源：

STATISTICS IN MEDICINE | 1991年 / 10卷 / 09期

关键词：

D O I：

10.1002/sim.4780100907

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The multivariate probit model is designed to regress a vector of correlated quantal variables on a mixture of continuous and discrete predictors. Various applications can be found in the biological, economical and psychosociological literature, but the method is not yet widely used in medical applications. We reintroduce this model thereby showing its usefulness in medical problems. Software for this model is, however, not widely available. We have written a PC program to select predictors and estimate parameters in the multivariate probit framework. The performance and characteristics of the program are briefly illustrated.

引用

页码：1391 / 1403

页数：13

共 14 条

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