The Statistical Analysis of Failure Time DataJohn Wiley & Sons, 2011/01/25 - 462 ページ * 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. |
目次
| 1 | |
2 Failure Time Models | 31 |
3 Inference in Parametric Models and Related Topics | 52 |
4 Relative Risk Cox Regression Models | 95 |
5 Counting Processes and Asymptotic Theory | 148 |
6 Likelihood Construction and Further Results | 193 |
7 Rank Regression and the Accelerated Failure Time Model | 218 |
8 Competing Risks and Multistate Models | 247 |
10 Analysis of Correlated Failure Time Data | 302 |
11 Additional Failure Time Data Topics | 328 |
Glossary of Notation | 375 |
Appendix A Some Sets of Data | 378 |
Appendix B Supporting Technical Material | 396 |
| 404 | |
| 429 | |
| 435 | |
他の版 - すべて表示
多く使われている語句
accelerated failure analysis apply approximate arise asymptotic distribution asymptotic results basic covariates Biometrika censored data censoring censorship Chapter coefficient competing risks condition confidence interval consider converges corresponding counting process Cox model defined density depend Dirichlet process discussed efficiency example exponential exponential distribution failure rate failure time data failure time model failure types filtration finite first fit gamma gamma distribution given gives hazard function independent censoring ith individual Kaplan—Meier estimator leukemia likelihood function linear log-rank test marginal marginal likelihood martingale matrix maximum likelihood estimate methods nonparametric Note number of failures observed obtained parametric models partial likelihood patients Prentice probability procedure proportional hazards model random rank tests regression model regression parameter relative risk model residuals right censoring sample score statistic Section specific stratified study subjects sufficient Suppose survival survivor function survivor function estimators Table time-dependent covariates tion transplant treatment uncensored variables variance estimator Weibull Wilcoxon zero