Statistical Methods for Survival Data Analysis

> 2) Samples 128 Exercises 130 6 Some Well-Known Parametric Survival Distributions And Their Applications 133 6.1 Exponential Distribution 133 6.2 Weibull Distribution 138 6.3 Lognormal Distribution 143 6.4 Gamma, Generalized Gamma, and Extended Generalized Gamma Distributions 148 6.5 Log-Logistic Distribution 153 6.6 O ther Survival Distributions 155 Exercises 159 7 Estimation Procedures for Parametric Survival Distributions Without Covariates 161 7.1 General Maximum Likelihood Estimation Procedure 161 7.2 Exponential Distribution 165 7.3 Weibull Distribution 178 7.4 Lognormal Distribution 180 7.5 The Extended Generalized Gamma Distribution 183 7.6 The Log-Logistic Distribution 184 7.7 Gompertz Distribution 185 7.8 Graphical Methods 186 Exercises 203 8 Tests of Goodness-of-Fit and Distribution Selection 206 8.1 Goodness-of-Fit Test Statistics Based on Asymptotic Likelihood Inferences 207 8.2 Tests for Appropriateness of a Family of Distributions 210 8.3 Selection of a Distribution by Using BIC or AIC Procedure 216 8.4 Tests for a Specific Distribution with Known Parameters 217 8.5 Hollander and Proschan's Test for Appropriateness of a Given Distribution with Known Parameters 220 Exercises 224 9 Parametric Methods for Comparing Two Survival Distributions 226 9.1 Log-Likelihood Ratio Test for Comparing Two Survival Distributions 226 9.2 Comparison of Two Exponential Distributions 229 9.3 Comparison of Two Weibull Distributions 234 9.4 Comparison of Two Gamma Distributions 236 Exercises 237 10 Parametric Methods for Regression Model Fitting and Identification of Prognostic Factors 239 10.1 Preliminary Examination of Data 240 10.2 General Structure of Parametric Regression Models and Their Asymptotic Likelihood Inference 242 10.3 Exponential AFT Model 246 10.4 Weibull AFT Model 255 10.5 Lognormal AFT Model 258 10.6 The Extended Generalized Gamma AFT Model 261 10.7 Log-Logistic AFT Model 264 10.8 O ther Parametric Regression Models 268 10.9 Model Selection Methods 270 Exercises 279 11 Identification of Risk Factors Related to Survival Time: Cox Proportional Hazards Model 282 11.1 The Proportional Hazards Model 282 11.2 The Partial Likelihood Function 285 11.3 Identification of Significant Covariates 302 11.4 Estimation of the Survivorship Function with Covariates 309 11.5 Adequacy Assessment of the Proportional Hazards Model 317 Exercises 334 12 Identification of Prognostic Factors Related to Survival Time: Non-Proportional Hazards Models 337 12.1 Models with Time-Dependent Covariates 337 12.2 Stratified Proportional Hazards Model 346 12.3 Competing Risks Model 350 12.4 Recurrent Event Models 353 12.5 Models for Related Observations 370 Exercises 382 13 Identification of Risk Factors Related to Dichotomous and Polychotomous Outcomes 384 13.1 Univariate Analysis 385 13.2 Logistic and Conditional Logistic Regression Model for Dichotomous Outcomes 392 13.3 Models for Polychotomous Outcomes 421 13.4 Models for Related Observations 432 Exercises 440 Appendix 443 References 466 Index 477