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Estimation of prevalence on psychiatric mentally disorders on Shatin community.

Leung Siu-Ngan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 72-74). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Structure and Contents of Data Sets --- p.6 / Chapter 2 --- Estimation of Prevalence of Mentally Disorders --- p.10 / Chapter 2.1 --- Likelihood Function Approach --- p.10 / Chapter 2.2 --- Maximum Likelihood Estimation via EM Algorithm --- p.13 / Chapter 2.3 --- The SEM Algorithm --- p.16 / Chapter 3 --- Estimation of Lifetime Comorbidity --- p.24 / Chapter 3.1 --- What is Comorbidity? --- p.24 / Chapter 3.2 --- Likelihood Function Approach --- p.25 / Chapter 3.2.1 --- Likelihood Function Model --- p.27 / Chapter 3.2.2 --- Maximum Likelihood Estimation via EM Algorithm --- p.28 / Chapter 3.2.3 --- Odds Ratio --- p.31 / Chapter 4 --- Logistic Regression --- p.35 / Chapter 4.1 --- Imputation Method of Missing Values --- p.35 / Chapter 4.1.1 --- Hot Deck Imputation --- p.35 / Chapter 4.1.2 --- A logistic Regression Imputation Model for Dichotomous Response --- p.40 / Chapter 4.2 --- Combining Results from Different Imputed Data Sets --- p.47 / Chapter 4.3 --- Itemization on Screening --- p.60 / Chapter 4.3.1 --- Methods of Weighting on the Screening Questions --- p.61 / Chapter 4.3.2 --- Statistical Analysis --- p.62 / Chapter 5 --- Conclusion and Discussion --- p.68 / Appendix: SRQ Questionnaire --- p.69 / Bibliography --- p.72

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323586
Date January 2001
ContributorsLeung, Siu-Ngan., Chinese University of Hong Kong Graduate School. Division of Statistics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vii, 74 leaves : ill. ; 30 cm.
CoverageChina, Hong Kong, Hong Kong
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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