The Statistical Analysis of Failure Time Data [Hardcover]

* Contains additional discussion and examples on left truncation as well as material on more general censoring and truncation patterns.
* Introduces the martingale and counting process formulation swil lbe in a new chapter.
* Develops multivariate failure time data in a separate chapter and extends the material on Markov and semi Markov formulations.
* Presents new examples and applications of data analysis.Preface.

1. Introduction.

1.1 Failure Time Data.

1.2 Failure Time Distributions.

1.3 Time Origins, Censoring, and Truncation.

1.4 Estimation of the Survivor Function.

1.5 Comparison of Survival Curves.

1.6 Generalizations to Accommodate Delayed Entry.

1.7 Counting Process Notation.

Bibliographic Notes.

Exercises and Complements.

2. Failure Time Models.

2.1 Introduction.

2.2 Some Continuous Parametric Failure Time Models.

2.3 Regression Models.

2.4 Discrete Failure Time Models.

Bibliographic Notes.

Exercises and Complements.

3. Inference in Parametric Models and Related Topics.

3.1 Introduction.

3.2 Censoring Mechanisms.

3.3 Censored Samples from an Exponential Distribution.

3.4 Large-Sample Likelihood Theory.

3.5 Exponential Regression.

3.6 Estimation in Log-Linear Regression Models.

3.7 Illustrations in More Complex Data Sets.

3.8 Discrimination Among Parametric Models.

3.9 Inference with Interval Censoring.

3.10 Discussion.

Bibliograpl3'