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Survival Analysis: State of the Art

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Cover of 'Survival Analysis: State of the Art'

Table of Contents

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    Book Overview
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    Chapter 1 Life Testing and Reliability Estimation under Asymmetric Loss
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    Chapter 2 Bayesian Computations in Survival Models Via the Gibbs Sampler
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    Chapter 3 Bayesian Nonparametric Survival Analysis: A Comparison of the Kaplan-Meier and Berliner-Hill Estimators
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    Chapter 4 Modelling Time-Varying Hazards and Covariate Effects
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    Chapter 5 Analysis of Trials with Treatment — Individual Interactions
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    Chapter 6 Assessment of Dependence In the Life Times of Twins
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    Chapter 7 Estimating Random Effects In the Framingham Heart Study
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    Chapter 8 Survival Analysis in Genetics: Danish Twin Data Applied To a Gerontological Question
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    Chapter 9 Some Issues in the Collection and Analysis of Field Reliability Data
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    Chapter 10 Bayesian Modeling For Fatigue Crack Curves
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    Chapter 11 Statistical Analysis Of a Weibull Process With Left- Censored Data
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    Chapter 12 Kernel Density Estimation from Record-Breaking Data
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    Chapter 13 Semiparametric Estimation Of Parametric Hazard Rates
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    Chapter 14 Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations
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    Chapter 15 Information Bounds For the Additive and Multiplicative Intensity Models
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    Chapter 16 Survival Analysis For Left Censored Data
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    Chapter 17 Regression Analysis for Discrete and Continuous Truncated and Eventually Censored Data
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    Chapter 18 Independent Delayed Entry
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    Chapter 19 Periodic Inspections in a Longitudinal Study: Viewing Occult Tumors Through a Filter
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    Chapter 20 Survival Under Multiple Time Scales in Dynamic Environments
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    Chapter 21 Nonparametric Identifiability of Marginal Survival Distributions in the Presence of Dependent Competing Risks and a Prognostic Covariate
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    Chapter 22 Frailty Models For Multiple Event Times
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    Chapter 23 A Nonparametric Approach To Dependence For Bivariate Censored Data
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    Chapter 24 Marginal and Conditional Models for the Analysis of Multivariate Failure Time Data
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    Chapter 25 Multivariate Failure Time Analysis: A Discussion of Papers by Oakes; Pons, Kaddour and De Turckheim; and Prentice and Cai
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    Chapter 26 Survivor Functions as Dependent Variables In Demographic Analysis
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    Chapter 27 The Relation Between the Rate of Return to Tenure, Earnings Growth, and Job Switching
Attention for Chapter 26: Survivor Functions as Dependent Variables In Demographic Analysis
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Chapter title
Survivor Functions as Dependent Variables In Demographic Analysis
Chapter number 26
Book title
Survival Analysis: State of the Art
Published by
Springer, Dordrecht, January 1992
DOI 10.1007/978-94-015-7983-4_26
Book ISBNs
978-9-04-814133-3, 978-9-40-157983-4
Authors

Krishnan Namboodiri, Hari H. Dayal, Namboodiri, Krishnan, Dayal, Hari H.

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