Search

Pang Suet-Yee., Thesis (M.Phil.)--Chinese University of Hong Kong, 2002., Includes bibliographical references (leaves 85-87)., s in English and Chinese., Chapter 1 --- Introduction --- p.1, Chapter 1.1 --- Overview --- p.1, Chapter 1.1.1 --- Survival Analysis --- p.2, Chapter 1.1.2 --- Tree、-structured Statistical Method --- p.2, Chapter 1.1.3 --- Mortality Study --- p.3, Chapter 1.2 --- Motivation --- p.3, Chapter 1.3 --- Background Information --- p.4, Chapter 1.4 --- Data Content --- p.7, Chapter 1.5 --- Thesis Outline --- p.8, Chapter 2 --- Imputation and File Splitting --- p.10, Chapter 2.1 --- Imputation of Missing Values --- p.10, Chapter 2.1.1 --- Purpose of Imputation --- p.10, Chapter 2.1.2 --- Procedure of Hot Deck Imputation --- p.11, Chapter 2.1.3 --- List of Variables for Imputation --- p.12, Chapter 2.2 --- File Splitting --- p.14, Chapter 2.2.1 --- Splitting by Gender --- p.14, Chapter 2.3 --- Splitting for Validation Check --- p.1G, Chapter 3 --- Cox Hazard Model --- p.17, Chapter 3.1 --- Basic Idea --- p.17, Chapter 3.1.1 --- Survival Analysis --- p.17, Chapter 3.1.2 --- Survivor Function --- p.18, Chapter 3.1.3 --- Hazard Function --- p.18, Chapter 3.2 --- The Cox Proportional Hazards Model --- p.19, Chapter 3.2.1 --- Kaplan-Meier Estimate and Log-Rank Test --- p.20, Chapter 3.2.2 --- Hazard Ratio --- p.23, Chapter 3.2.3 --- Partial Likelihood --- p.24, Chapter 3.3 --- Extension of the Cox Proportional Hazards Model for Time-dependent Variables --- p.25, Chapter 3.3.1 --- Modification of the Cox's Model --- p.25, Chapter 3.4 --- Results of Model Fitting --- p.26, Chapter 3.4.1 --- Extract the Significant Covariates from the Models --- p.31, Chapter 3.5 --- Model Interpretation --- p.32, Chapter 4 --- CART --- p.37, Chapter 4.1 --- CART Procedure --- p.38, Chapter 4.2 --- Selection of the Splits --- p.39, Chapter 4.2.1 --- Goodness of Split --- p.39, Chapter 4.2.2 --- Type of Variables --- p.40, Chapter 4.2.3 --- Estimation --- p.40, Chapter 4.3 --- Pruning the Tree --- p.41, Chapter 4.3.1 --- Misclassification Cost --- p.42, Chapter 4.3.2 --- Class Assignment Rule --- p.44, Chapter 4.3.3 --- Minimal Cost Complexity Pruning --- p.44, Chapter 4.4 --- Cross Validation --- p.47, Chapter 4.4.1 --- V-fold Cross-validation --- p.47, Chapter 4.4.2 --- Selecting the right sized tree --- p.49, Chapter 4.5 --- Missing Value --- p.49, Chapter 4.6 --- Results of CART program --- p.51, Chapter 4.7 --- Model Interpretation --- p.53, Chapter 5 --- Model Prediction --- p.58, Chapter 5.1 --- Application to Test Sample --- p.58, Chapter 5.1.1 --- Fitting test sample to Cox's Model --- p.59, Chapter 5.1.2 --- Fitting test sample to CART model --- p.61, Chapter 5.2 --- Comparison of Model Prediction --- p.62, Chapter 5.2.1 --- Misclassification Rate --- p.62, Chapter 5.2.2 --- Misclassification Rate of Cox's model --- p.63, Chapter 5.2.3 --- Misclassification Rate of CART model --- p.64, Chapter 5.2.4 --- Prediction Result --- p.64, Chapter 6 --- Conclusion --- p.67, Chapter 6.1 --- Comparison of Results --- p.67, Chapter 6.2 --- Comparison of the Two Statistical Techniques --- p.68, Chapter 6.3 --- Limitation --- p.70, Appendix A: Coding Description for the Health Factors --- p.72, Appendix B: Log-rank Test --- p.75, Appendix C: Longitudinal Plot of Time Dependent Variables --- p.76, Appendix D: Hypothesis Testing of Suspected Covariates --- p.78, Appendix E: Terminal node report for both gender --- p.81, Appendix F: Calculation of Critical Values --- p.83, Appendix G: Distribution of Missing Value in Learning sample and Test Sample --- p.84, Bibliography --- p.85, http://library.cuhk.edu.hk/record=b5891190, Use 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/)