Handbook of survival analysis / edited by John P. Klein ... [et al.]
- 其他作者：
- 出版： Boca Raton, FL : CRC Press 2014
- 叢書名： 空的權威內文
- 主題： Medical sciences--Statistical methods--Computer programs , Survival analysis (Biometry) , Regression analysis--Data processing. , Prognosis--Statistical methods , Survival Analysis.
- ISBN： 9781466555662 (hbk.) :: US$109.33 、 1466555661 (hbk.)
- 書目註：Includes bibliographical references and index
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讀者標籤：
- 系統號： 005210637 | 機讀編目格式
館藏資訊
Handbook of Survival Analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides: An introduction to various areas in survival analysis for graduate students and novices A reference to modern investigations into survival analysis for more established researchers A text or supplement for a second or advanced course in survival analysis A useful guide to statistical methods for analyzing survival data experiments for practicing statisticians
摘要註
"Handbook of survival analysis presents modern techniques and research problems in lifetime data analysis. This area of statistics deals with time-to-event data that is complicated by censoring and the dynamic nature of events occurring in time. With chapters written by leading researchers in the field, the handbook focuses on advances in survival analysis techniques, covering classical and Bayesian approaches. It gives a complete overview of the current status of survival analysis and should inspire further research in the field. Accessible to a wide range of readers, the book provides an introduction to various areas in survival analysis for graduate students and novices, a reference to modern investigations into survival analysis for more established researchers, a text or supplement for a second or advanced course in survival analysis, and a useful guide to statistical methods for analyzing survival data experiments for practicing statisticians"--Publisher's description
內容註
I. Regression models for right censoring -- Cox regression model -- Bayesian analysis of the Cox model -- Alternatives to the Cox model -- Transformation models -- High-dimensional regression models -- Cure models -- Causal models -- II. Competing risks -- Classical regression models for competing risks -- Bayesian regression models for competing risks -- Pseudo-value regression models -- Binomial regression models -- Regression models in bone marrow transplantation: a case study -- III. Model selection and validation -- Classical model selection -- Bayesian model selection -- Model selection for high-dimensional models -- Robustness of proportional hazards regression -- IV. Other censoring schemes -- Nested case-control and case-cohort studies -- Interval censoring -- Current status data: an illustration with data on avalanche victims -- V. Multivariate/multistate models -- Multistate models -- Landmarking -- Frailty models -- Bayesian analysis of frailty models -- Copula models