Application of the missing-indicator method in matched case-control studies with incomplete data.
نویسندگان
چکیده
A common practice in matched case-control studies with incomplete data is to perform two analyses in parallel: a matched analysis of the complete pairs and an unmatched analysis of all subjects carried out after breaking the matching in the complete pairs. The missing-indicator method, which has the advantage of making use of the data in the incomplete pairs while still preserving the matching in the complete pairs, is recommended as an alternative method of analysis. It is shown here that its estimate of the odds ratio is a compromise between the odds ratios estimated by a matched analysis of the complete pairs and an unmatched analysis of the incomplete pairs. The method is illustrated using data from a matched case-control study of the risk of childhood leukemia from exposure to residential electric and magnetic fields.
منابع مشابه
Comparison of the missing-indicator method and conditional logistic regression in 1:m matched case-control studies with missing exposure values.
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عنوان ژورنال:
- American journal of epidemiology
دوره 150 12 شماره
صفحات -
تاریخ انتشار 1999