Adjustment for selection bias in cohort studies: An application of a probit model with selectivity to life course epidemiology

被引:11
作者
Cheung, YB [1 ]
机构
[1] Natl Canc Ctr, Div Clin Trials & Epidemiol Sci, Singapore 169610, Singapore
关键词
birth weight; malaise inventory; probit; selectivity model; selection bias;
D O I
10.1016/S0895-4356(01)00403-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Sample attrition is potentially a source of bias in cohort studies. The outcome may not be observed in a considerable proportion of the subjects. This article proposes the application of a probit model with sample selection to handle the problem. Two equations are simultaneously estimated and their error terms allowed to correlate: one regressing an observed outcome on a set of baseline variables, another regressing the probability of the outcome being observed upon a set of (perhaps the same) baseline variables. The method was applied to a study of a birth cohort, half of whose members were interviewed again at age 26. Baseline variables were observed for all the subjects included. The focus was on the association between birth weight and mental health in adults. The probit model with sample selection revealed a stronger and more significant (P = 0.037) relation between birth weight and mental health than an ordinary probit regression model (P = 0.170). Interpretation and practical considerations are discussed. (C) 2001 Elsevier Science Inc. All rights reserved.
引用
收藏
页码:1238 / 1243
页数:6
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