Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data
Multivariate Behavioral Research
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2022
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sg-nus-scholar.10635-2299002024-04-03T00:45:02Z Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data Ju-Hyun Park Ji Yeh Choi Jungup Lee Minjung Kyung SOCIAL WORK Multivariate Behavioral Research 57 4 543-560 2022-08-03T08:25:18Z 2022-08-03T08:25:18Z 2021-02-01 Article Ju-Hyun Park, Ji Yeh Choi, Jungup Lee, Minjung Kyung (2021-02-01). Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data. Multivariate Behavioral Research 57 (4) : 543-560. ScholarBank@NUS Repository. 0027-3171 https://scholarbank.nus.edu.sg/handle/10635/229900 Taylor & Francis Taylor & Francis |
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Multivariate Behavioral Research |
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SOCIAL WORK |
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SOCIAL WORK Ju-Hyun Park Ji Yeh Choi Jungup Lee Minjung Kyung |
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Ju-Hyun Park Ji Yeh Choi Jungup Lee Minjung Kyung |
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Ju-Hyun Park Ji Yeh Choi Jungup Lee Minjung Kyung Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
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Ju-Hyun Park |
title |
Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
title_short |
Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
title_full |
Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
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Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
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Bayesian approach to multivariate component-based logistic regression: Analyzing correlated multivariate ordinal data |
title_sort |
bayesian approach to multivariate component-based logistic regression: analyzing correlated multivariate ordinal data |
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Taylor & Francis |
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2022 |
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https://scholarbank.nus.edu.sg/handle/10635/229900 |
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