Contents
1 Introduction to Regression Modeling of Survival Data
1.2 Typical Censoring Mechanisms,
2 Descriptive Methods for Survival Data
2.2 Estimating the Survival Function,
2.3 Using the Estimated Survival Function,
2.4 Comparison of Survival Functions,
2.5 Other Functions of Survival Time and Their Estimators,
3. Regression Models for Survival Data
3.2 Semi-Parametric Regression Models,
3.3 Fitting the Proportional Hazards Regression Model,
3.4 Fitting the Proportional Hazards Model with Tied Survival Times,
3.5 Estimating the Survival Function of the Proportional Hazards Regression Model,
4. Interpretation of a Fitted Proportional Hazards Regression Model
4.3 Continuous Scale Covariate,
4.4 Multiple-Covariate Models,
4.5 Interpreting and Using the Estimated Covariate-Adjusted Survival Function,
5.2 Purposeful Selection of Co variâtes,
5.3 Stepwise, Best-Subsets and Multivariable Fractional PolynomialMethods of Selecting Covariates,
6. Assessment of Model Adequacy
6.3 Assessing the Proportional Hazards Assumption,
6.4 Identification of Influential and Poorly Fit Subjects,
6.5 Assessing Overall Goodness-of-Fit,
6.6 Interpreting and Presenting Results From the Final Model,
7. Extensions of the Proportional Hazards Model
7.2 The Stratified Proportional Hazards Model,
7.4 Truncated, Left Censored and Interval Censored Data,
8. Parametric Regression Models
8.2 The Exponential Regression Model,
8.3 The Weibull Regression Model,
8.4 The Log-Logistic Regression Model,
8.5 Other Parametric Regression Models,
9.4 Nested Case-Control Studies,
Appendix 2 An Introduction to the Counting Process Approach to Survival Analysis
Appendix 3 Percentiles for Computation of the Hall and Wellner Confidence Band