Stella & Rose's Books

Front cover

Contents

• Preface
• Contributors
• PART I. GENERAL METHODOLOGY
• Ch.1. Evaluation of the Performance of Survival Analysis Models:
• Discrimination and Calibration Measures
• Ch.2. Discretizing a Continuous Covariate in Survival Studies
• Ch.3. On Comparison of Two Classification Methods with Survival Endpoints
• Ch.4. Time-Varying Effects in Survival Analysis
• Ch.5. Kaplan-Meier Integrals
• PART II. CENSORED DATA AND INFERENCE
• Ch.6. Statistical Analysis of Doubly Interval-Censored Failure Time Data
• Ch.7. The Missing Censoring-Indicator Model of Random Censorship
• Ch.8. Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures
• Ch.9. Estimation of Semi-Markov Models with Right-Censored Data
• PART III. TRUNCATED DATA AND INFERENCE
• Ch.10. Nonparametric Bivariate Estimation with Randomly Truncated Observations
• PART IV. HAZARD RATE ESTIMATION
• Ch.11. Lower Bounders for Estimating a Hazard
• Ch.12. Non-Parametric Hazard Rate Estimation under Progressive Type-II Censoring
• PART V. COMPARISON OF SURVIVAL CURVES
• Ch.13. Statistical Tests of the Equality of Survival Curves: Reconsidering the Options
• Ch.14. Testing Equality of Survival Functions with Bivariate Censored Data: A Review
• Ch.15. Statistical Methods for the Comparison of Crossing Survival Curves
• PART IV. COMPETING RISKS AND ANALYSIS
• Ch.16. Inference for Competing Risks
• Ch.17. Analysis of Cause-Specific Events in Competing Risks Survival Data
• Ch.18. Analysis of Progressively Censored Competing Risks Data
• Ch.19 Marginal Analysis of Point Process with Competing Risks
• PART VII. PROPORTIONAL HAZARDS MODEL AND ANALYSIS
• Ch.20. Categorical Auxiliary Data in the Discrete Time Proportional Hazards Model
• Ch.21. Hosmer and Lemeshow type Goodness-of-Fit Statistics for the Cox Proportional Hazards Model
• Ch.22. The Effects of Misspecifying Cox's Regression Model on Randomized Treatment Group Comparisons
• Ch.23. Statistical Modeling in Survival Analysis and Its Influence on the Duration Analysis
• PART VIII. ACCELERATED MODELS AND ANAYSIS
• Ch.24. Accelerated Hazards Model: Method, Theory and Applications
• Ch.25. Diagnostics for the Accelerated Life Time Model of Survival Data
• Ch.26. Cumulative Damage Approaches Leading to Inverse Gaussian Accelerated Test Models
• Ch.27. On Estimating the Gamma Accelerated Failure-Time Models
• PART IX. FREAILTY MODELS AND APPLICATIONS
• Ch.28. Frailty Model and Its Application to Seizure Data
• PART X. MODELS AND APPLICATIONS
• Ch.29. State Space Models for Survival Analysis
• Ch.30 First Hitting Time Models for Lifetime Data
• Ch.31. An Increasing Hazard Cure Model
• PART XI. MULTIVARIATE SURVIVAL DATA ANALYSIS
• Ch.32. Marginal Analyses of Multistage Data
• Ch.33. The Matrix-Valued Counting Process Model with Proportional Hazards for Sequential Survival Data
• PART XII. RECURRENT EVENT DATA ANALYSIS
• Ch.34. Analysis of Recurrent Event Data
• PART XIII. CURRENT STATUS DATA ANALYSIS
• Ch.35. Current Status Data: Review, Recent Developments and Open Problems
• PART XIV. DISEASE PROGRESSION ANALYSIS
• Ch.36. Appraisal of Models for the Study of Disease Progression in Psoriatic Arthritis
• PART XV. GENE EXPRESSIONS AND ANALYSIS
• Ch.37. Survival Analysis with Gene Expression Arrays
• PART XVI. QUALITY OF LIFE ANALYSIS
• Ch.38. Joint Analysis of Longitudinal Quality of Life and Survival Processes
• PART XVII. FLOWGRAPH MODELS AND APPLICATIONS
• Ch.39. Modelling Survival Data using Flowgraph Models
• PART XVIII. REPAIR MODELS AND ANALYSIS
• Ch.40. Nonparametric Methods for Repair Models
• Subject Index
• Contents of Previous Volumes