Describing Stratified Multiple Responses for Sparse Data
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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ftciteseerx:oai:CiteSeerX.psu:10.1.1.625.3909 2023-05-15T16:29:06+02:00 Describing Stratified Multiple Responses for Sparse Data Ivy Liu The Pennsylvania State University CiteSeerX Archives 2004 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.625.3909 http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.625.3909 http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf text 2004 ftciteseerx 2016-01-08T15:11:48Z 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 type of response is called multiple responses. Bilder and Loughin (2002) proposed a Cochran-Mantel-Haenszel (MH) type method to test whether the choice of type of contraception is marginally independent of an explanatory variable given a stratification variable (known as conditional multiple marginal independence, CMMI). We apply the generalized MH type es-timators (Greenland, 1989) to estimate the conditional group effects among the c outcome categories and follow the bootstrap method to estimate the variances and covariances for the estimators. The method can also be used for data with dependent observations across strata. It performs well even for highly sparse data. Key words: bootstrap method; Mantel-Haenszel estimator; multiple responses; odds ratio. 1 1 Text Greenland Unknown Greenland |
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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 type of response is called multiple responses. Bilder and Loughin (2002) proposed a Cochran-Mantel-Haenszel (MH) type method to test whether the choice of type of contraception is marginally independent of an explanatory variable given a stratification variable (known as conditional multiple marginal independence, CMMI). We apply the generalized MH type es-timators (Greenland, 1989) to estimate the conditional group effects among the c outcome categories and follow the bootstrap method to estimate the variances and covariances for the estimators. The method can also be used for data with dependent observations across strata. It performs well even for highly sparse data. Key words: bootstrap method; Mantel-Haenszel estimator; multiple responses; odds ratio. 1 1 |
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The Pennsylvania State University CiteSeerX Archives |
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Text |
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Ivy Liu |
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Ivy Liu Describing Stratified Multiple Responses for Sparse Data |
author_facet |
Ivy Liu |
author_sort |
Ivy Liu |
title |
Describing Stratified Multiple Responses for Sparse Data |
title_short |
Describing Stratified Multiple Responses for Sparse Data |
title_full |
Describing Stratified Multiple Responses for Sparse Data |
title_fullStr |
Describing Stratified Multiple Responses for Sparse Data |
title_full_unstemmed |
Describing Stratified Multiple Responses for Sparse Data |
title_sort |
describing stratified multiple responses for sparse data |
publishDate |
2004 |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.625.3909 http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf |
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Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
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http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.625.3909 http://www.mcs.vuw.ac.nz/research/publications/reports/mscs/mscs04-04.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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