Survival Analysis Techniques for Censored and Truncated Data /

• Κύριοι συγγραφείς: Klein, John P. (Συγγραφέας), Moeschberger, Melvin L. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2003.
• Έκδοση: Second Edition.
• Σειρά: Statistics for Biology and Health,
• Θέματα: Medicine.; Epidemiology.; Probabilities.; Statistics.; Social sciences.; Medicine & Public Health.; Probability Theory and Stochastic Processes.; Methodology of the Social Sciences.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistical Theory and Methods.; Statistics for Business/Economics/Mathematical Finance/Insurance.

Applied statisticians in many fields must frequently analyze time to event data. While the statistical tools presented in this book are applicable to data from medicine, biology, public health, epidemiology, engineering, economics, and demography, the focus here is on applications of the techniques...

Πίνακας περιεχομένων:

• Examples of Survival Data
• Basic Quantities and Models
• Censoring and Truncation
• Nonparametric Estimation of Basic Quantities for Right-Censored and Left-Truncated Data
• Estimation of Basic Quantities for Other Sampling Schemes
• Topics in Univariate Estimation
• Hypothesis Testing
• Semiparametric Proportional Hazards Regression with Fixed Covariates
• Refinements of the Semiparametric Proportional Hazards Model
• Additive Hazard Regression Models
• Regression Diagnostics
• Inference for Parametric Regression Models
• Multivariate Survival Analysis.