Survival Analysis: State of the Art

Inbunden, Engelska, 1992

AvJohn P. Klein,P.K. Goel,P. K. Goel,Prem Goel

1 379 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Survival analysis is a highly active area of research with applications spanning the physical, engineering, biological, and social sciences. Researchers in survival techniques, in addition to statisticians and biostatisticians include epidemiologists, reliability engineers, demographers and economists. This volume includes papers (with discussions) by 26 of the leading researchers in these areas. Topics considered in the volume are the use of frailty models in survival analysis, left-censored and left-truncated data, multivariate survival analysis, competing risks theory, kernel density estimation and semiparametric estimation for right-censored data. Both Bayesian and classical viewpoints are studied. The techniques presented are applied to applications in reliability, fatigue crack growth, field reliability, clinical trials, genetics, gerontology, health monitoring, AIDS, economics and demography.

Produktinformation

Utgivningsdatum1992-02-29
Mått210 x 297 x 30 mm
Vikt860 g
FormatInbunden
SpråkEngelska
SerieNATO Science Series E:
Antal sidor451
Upplaga1992
FörlagKluwer Academic Publishers
ISBN9780792316343

Tillhör följande kategorier

Life Testing and Reliability Estimation Under Asymmetric Loss.- Bayesian Computations In Survival Models Via the Gibbs Sampler.- Bayesian Nonparametric Survival Analysis: A Comparison of the Kaplan-Meier and Berliner-Hill Estimators.- Modelling Time-Varying Hazards and Covariate Effects.- Analysis of Trials with Treatment — Individual Interactions.- Assessment of Dependence In the Life Times of Twins.- Estimating Random Effects In the Framingham Heart Study.- Survival Analysis in Genetics: Danish Twin Data Applied To a Gerontological Question.- Some Issues in the Collection and Analysis of Field Reliability Data.- Bayesian Modelling For Fatigue Crack Curves.- Statistical Analysis Of a Weibull Process With Left- Censored Data.- Kernel Density Estimation from Record-Breaking Data.- Semiparametric Estimation Of Parametric Hazard Rates.- Cox-Type Regression Analysis for Large Numbers of Small Groups of Correlated Failure Time Observations.- Information Bounds For the Additive and Multiplicative Intensity Models.- Survival Analysis For Left Censored Data.- Regression Analysis for Discrete and Continuous Truncated and Eventually Censored Data.- Independent Delayed Entry.- Periodic Inspections in a Longitudinal Study: Viewing Occult Tumors Through a Filter.- Survival Under Multiple Time Scales in Dynamic Environments.- Nonparametric Identifiability of Marginal Survival Distributions in the Presence of Dependent Competing Risks and a Prognostic Covariate.- Frailty Models For Multiple Event Times.- A Nonparametric Approach To Dependence For Bivariate Censored Data.- Marginal and Conditional Models for the Analysis of Multivariate Failure Time Data.- Multivariate Failure Time Analysis: Discussion of Papes by Oakes; Pons, Kaddour and De Turckheim; and Prentice and Cai.- SurvivorFunctions as Dependent Variables In Demographic Analysis.- Relation Between The Rate Of Return To Tenure, Earnings Growth and Job Switching.- List of Contributors.