THE ANALYSIS OF STRATIFIED MULTIPLE RESPONSES
Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question “What type of contraception have you used? ” with possible responses (oral, condom, lubricated condom, spermicide, and di-aphragm), respondents would be i...
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| Format: | Text |
| Language: | English |
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2007
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| Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.630.2905 http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs07-05.pdf |
| Summary: | Surveys often contain qualitative variables for which respondents may select any number of the outcome categories. For instance, for the question “What type of contraception have you used? ” with possible responses (oral, condom, lubricated condom, spermicide, and di-aphragm), respondents would be instructed to select as many of the outcomes that apply. This situation is known as multiple responses. When the data includes stratification variables, we discuss two approaches: (1) the model-based approach which uses logit models directly applying the generalized estimating equations (GEE) method (Liang and Zeger, 1986); and (2) the non-model-based approach which extends the generalized Mantel-Haenszel type es-timators (Greenland, 1989) to make inferences across multiple responses. These approaches can also be used for data with dependent observations across strata. Key words: bootstrap method, dually consistent, generalized estimating equations, gener-alized Mantel-Haenszel estimator, multiple responses; odds ratio. 1 1 |
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