The Statistical Analysis of Failure Time Data, Second Edition
โ Scribed by John D. Kalbfleisch, Ross L. Prentice(auth.)
- Tongue
- English
- Leaves
- 457
- Series
- Wiley Series in Probability and Statistics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Content:
Chapter 1 Introduction (pages 1โ30):
Chapter 2 Failure Time Models (pages 31โ51):
Chapter 3 Inference in Parametric Models and Related Topics (pages 52โ94):
Chapter 4 Relative Risk (Cox) Regression Models (pages 95โ147):
Chapter 5 Counting Processes and Asymptotic Theory (pages 148โ192):
Chapter 6 Likelihood Construction and Further Results (pages 193โ217):
Chapter 7 Rank Regression and the Accelerated Failure Time Model (pages 218โ246):
Chapter 8 Competing Risks and Multistate Models (pages 247โ277):
Chapter 9 Modeling and Analysis of Recurrent Event Data (pages 278โ301):
Chapter 10 Analysis of Correlated Failure Time Data (pages 302โ327):
Chapter 11 Additional Failure Time Data Topics (pages 328โ374):
๐ SIMILAR VOLUMES
<p><P>Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data. In
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 mate
The new edition adds a chapter on multiple linear regression in biomedical research, with sections including the multiple linear regressions model and least squares; the ANOVA table, parameter estimates, and confidence intervals; partial f-tests; polynomial regression; and analysis of covariance.<br
<p><span>Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data.
The Statistical Analysis of Multivariate Failure Time Data: A Marginal Modeling Approach provides an innovative look at methods for the analysis of correlated failure times. The focus is on the use of marginal single and marginal double failure hazard rate estimators for the extraction of regression