- 822 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Advances in Survival Analysis
About this book
Handbook of Statistics: Advances in Survival Analysis covers all important topics in the area of Survival Analysis. Each topic has been covered by one or more chapters written by internationally renowned experts. Each chapter provides a comprehensive and up-to-date review of the topic. Several new illustrative examples have been used to demonstrate the methodologies developed. The book also includes an exhaustive list of important references in the area of Survival Analysis.- Includes up-to-date reviews on many important topics- Chapters written by many internationally renowned experts- Some Chapters provide completely new methodologies and analyses- Includes some new data and methods of analyzing them
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Yes, you can access Advances in Survival Analysis by Narayanaswamy Balakrishnan,C.R. Rao,N. Balakrishnan in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover image
- Title page
- Table of Contents
- Preface
- Contributors
- Evaluation of the Performance of Survival Analysis Models: Discrimination and Calibration Measures
- Discretizing a Continuous Covariate in Survival Studies
- On Comparison of Two Classification Methods with Survival Endpoints
- Time-Varying Effects in Survival Analysis
- KaplanāMeier Integrals
- Statistical Analysis of Doubly Interval-Censored Failure Time Data
- The Missing Censoring-Indicator Model of Random Censorship
- Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures
- Estimation of Semi-Markov Models with Right-Censored Data
- Nonparametric Bivariate Estimation with Randomly Truncated Observations
- Lower Bounds for Estimating a Hazard
- Non-Parametric Hazard Rate Estimation under Progressive Type-II Censoring
- Statistical Tests of the Equality of Survival Curves: Reconsidering the Options
- Testing Equality of Survival Functions with Bivariate Censored Data: A Review
- Statistical Methods for the Comparison of Crossing Survival Curves
- Inference for Competing Risks
- Analysis of Cause-Specific Events in Competing Risks Survival Data
- Analysis of Progressively Censored Competing Risks Data
- Marginal Analysis of Point Processes with Competing Risks
- Categorical Auxiliary Data in the Discrete Time Proportional Hazards Model
- Hosmer and Lemeshow type Goodness-of-Fit Statistics for the Cox Proportional Hazards Model
- The Effects of Misspecifying Cox's Regression Model on Randomized Treatment Group Comparisons
- Statistical Modeling in Survival Analysis and Its Influence on the Duration Analysis
- Accelerated Hazards Model: Method, Theory and Applications
- Diagnostics for the Accelerated Life Time Model ofĀ Survival Data
- Cumulative Damage Approaches Leading to Inverse Gaussian Accelerated Test Models
- On Estimating the Gamma Accelerated Failure-Time Models
- Frailty Model and its Application to Seizure Data
- State Space Models for Survival Analysis
- First Hitting Time Models for Lifetime Data
- An Increasing Hazard Cure Model
- Marginal Analyses of Multistage Data
- The Matrix-Valued Counting Process Model with Proportional Hazards for Sequential Survival Data
- Analysis of Recurrent Event Data
- Current Status Data: Review, Recent Developments and Open Problems
- Appraisal of Models for the Study of Disease Progression in Psoriatic Arthritis
- Survival Analysis with Gene Expression Arrays
- Joint Analysis of Longitudinal Quality of Life and Survival Processes
- Modelling Survival Data using Flowgraph Models
- Nonparametric Methods for Repair Models
- Subject Index
- Handbook of Statistics Contents of Previous Volumes