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| HANDBOOK OF STATISTICS, 23
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Advances in Survival Analysis
To order this title, and for more information, click here
By
N. Balakrishnan, McMaster University, Hamilton, Canada.
C.R. Rao, The Pennsylvania State University, University Park, U.S.A.
Included in series
Handbook of Statistics, 23
Description
The book 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.
Audience
Biostatisticians, Mathematical Statisticians and
Reliability Engineers.
Contents
Preface.
Contributors.
Part I. General Methodology.
Evaluation of the Performance of Survival
Analysis Models: Discrimination and Calibration Measures (R.B. D'Agostino, B.-H. Nam).
Discretizing a Continuous Covariate in Survival
Studies (J.P. Klein, J.-T. Wu).
On Comparison of Two Classification Methods with Survival Endpoints (Y. Lu, H. Jin, J. Mi).
Time-Varying
Effects in Survival Analysis (T.H. Scheike).
Kaplan-Meier Integrals (W. Stute).
Part II. Concensored Data and Inference.
Statistical Analysis of Doubly Interval-Censored Failure Time Data (J. Sun).
The Missing Consoring-Indicator Model of Random Censorship
(S. Subramanian).
Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures (S. Keles,
M.J. van der Laan, J.M. Robins).
Estimation of Semi-Markov Models with Right-Censored Data (O. Pons).
Part III. Truncated
Data and Inference.
Nonparametric Bivariate Estimation with Randomly Truncated Observations ( . G rler).
Part
IV. Hazard Rate Estimation.
Lower Bounds for Estimating a Hazard (C. Huber, b. MacGibbon).
Non-Parametric Hazard Rate
Estimation under Proressive Type-II Consoring (N. Balakrishnan, L. Bordes).
Part V. Comparison of Survival Curves.
Statistical Tests of the Equality of Survival Curves: Reconsidering the Options (G.P. Suciu, S. Lemeshow, M. Moeschberger).
Testing
Equality of Survival Functions with Bivariate Censored Data: A Review (P.V. Rao).
Statistical Methods for the Comparison of Crossing
Survival Curves (C.T. Le).
Part VI. Competing Risks and Analysis.
Inference for Competing Risks (J.P. Klein,
R. Bajorunaite).
Analysis of Cause-Specific Events in Competing Risks Survival Data (J. Dignam, J. Bryant, H.S. Wieand).
Analysis
of Progressively Censored Competing Risks Data (D. Kundu, N. Kannan, N. Balakrishnan).
Marginal Analysis of Point Processes with
Competing Risks (R.J. Cook, B. Chen, P. Major).
Part VII. Propoertional Hazards Model and Analysis.
Categorical
Auxiliary Data in the Discrete Time Proportional Hazards Model (P. Slasor, N. Laird).
Hosmer and Lemeshow type Goodness-of-Fit Statistics
for the Cox Proportional Hazards Model (S. May, D.W. Hosmer).
The Effects of Misspecifying Cox's Regression Model on Randomized Treatment
Group Comparisons (A.G. DiRienzo, S.W. Lagakos).
Statistical Modeling in Survival Analysis and Its Influence on the Duration Analysis
(V. Bagdonavicius, M. Nikulin.
Part VIII. Accelerated Models and Analysis.
Accelerated Hazards Model: Method,
Theory and Applications (Y.Q. Chen, N.P. Jewell, J. Yang).
Diagnostics for the Accelerated Life Time Model of Survival Data (D. Zelterman,
H. Lin).
Cumulative Damage Approaches Leading to Inverse Gaussian Accelerated Test Models (A. Onar, W.J. Padgett).
On Estimating
the Gamma Accelerated Failure-Time Models (K.M. Koti).
Part IX. Frailty Models and Applications.
Frailty Model
and its Application to Seizure Data (N. Ebrahimi, X. Zhang, A. Berg, S. Shinnar).
Part X. Models and Applications.
State Space Models for Survival Analysis (W.Y. Tan, W. Ke).
First Hitting Time Models for Lifetime Date (M.-L.T. Lee, G.A. Whitmore).
An Increasing Hazard Cure Model (Y. Peng, K.B.G. Dear).
Part XI. Multivariate Survival Data Analysis.
Marginal
Analyses of Multistage Data (G.A. Satten, S. Datta).
The Matrix-Valued Counting Process Model with Proportional Hazards for Sequential
Survival Data (K.L. Kesler, P.K. Sen).
Part XII. Recurrent Event Data Analysis.
Analysis of Recurrent Event
Data (J. Cai, D.E. Schaubel).
Part XIII. Current Status Data Analysis.
Current Status Data: Review, Recent Developments
and Open Problems (N.P. Jewell, M. van der Laan).
Part XIV. Disease Progression Analysis.
Appraisal of Models
for the Study of Disease Progression in Psoriatic Arthritis (R. Aguirre-Hern ndez, V.T. Farewell).
Part XV. Gene Expressions
and Analysis.
Survival Analysis with Gene Expression Arrays (D.K. Pauler, J. Hardin, J.R. Faulkner, M. LeBlanc, J.J. Crowley).
Part XVI. Quality of Life Analysis.
Joint Analysis of Longitudinal Quailty of Life and Survival Processes (M. Mesbah,
J.-F. Dupuy, N. Heutte, L. Awad).
Part XVII. Flowgraph Models and Applications.
Modelling Survival Data using
Flowgraph Models (A.V. Huzurbazar).
Part XVIII. Repair Models and Analysis.
Nonparametric Methods for Repair
Models (M. Hollander, J. Sethuraman).
Subject Index.
Contents of Previous Volumes.
| Bibliographic details |
Hardbound, 822 pages, publication date: JAN-2004
ISBN-13: 978-0-444-50079-3
ISBN-10: 0-444-50079-0
Imprint: NORTH-HOLLAND
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Last update: 30 Nov 2009
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