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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
  2. Altmetric Badge
    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 14: Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations
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Chapter title
Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations
Chapter number 14
Book title
Survival Analysis: State of the Art
Published by
Springer, Dordrecht, January 1992
DOI 10.1007/978-94-015-7983-4_14
Book ISBNs
978-9-04-814133-3, 978-9-40-157983-4
Authors

Eric W. Lee, L. J. Wei, David A. Amato, Sue Leurgans, Lee, Eric W., Wei, L. J., Amato, David A., Leurgans, Sue

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 2%
France 1 1%
United States 1 1%
Unknown 85 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 24%
Student > Ph. D. Student 16 18%
Student > Doctoral Student 6 7%
Student > Bachelor 6 7%
Student > Master 6 7%
Other 12 13%
Unknown 22 25%
Readers by discipline Count As %
Medicine and Dentistry 21 24%
Mathematics 12 13%
Business, Management and Accounting 6 7%
Social Sciences 6 7%
Agricultural and Biological Sciences 5 6%
Other 10 11%
Unknown 29 33%