Handbook of survival analysis
Contributor(s): Klein, John P [Editor]
| van Houwelingen, Hans C [Editor] | Ibrahim, Joseph G [Editor] | Scheike, Thomas H [Editor].
Series: Handbooks of Modern Statistical Methods. Publisher: New York CRC Press 2014Description: xvi, 640 p.ISBN: 9781466555662.Subject(s): Medical sciences - Statistical methods - Computer programs | Survival analysis (Biometry) | Regression analysis - Data processing | Prognosis - Statistical methods | Mathematics - Probability and Statistics - GeneralDDC classification: 610.7 Summary: 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
| Item type | Current location | Item location | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
| Books | Vikram Sarabhai Library | Slot 1716 (2 Floor, East Wing) | Non-fiction | 610.7 H2 (Browse shelf) | Available | 180316 |
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
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