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Frailty Models in Survival Analysis (Hardcover, New)
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Frailty Models in Survival Analysis (Hardcover, New)
Series: Chapman & Hall/CRC Biostatistics Series
Expected to ship within 12 - 17 working days
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The concept of frailty offers a convenient way to introduce
unobserved heterogeneity and associations into models for survival
data. In its simplest form, frailty is an unobserved random
proportionality factor that modifies the hazard function of an
individual or a group of related individuals. Frailty Models in
Survival Analysis presents a comprehensive overview of the
fundamental approaches in the area of frailty models. The book
extensively explores how univariate frailty models can represent
unobserved heterogeneity. It also emphasizes correlated frailty
models as extensions of univariate and shared frailty models. The
author analyzes similarities and differences between frailty and
copula models; discusses problems related to frailty models, such
as tests for homogeneity; and describes parametric and
semiparametric models using both frequentist and Bayesian
approaches. He also shows how to apply the models to real data
using the statistical packages of R, SAS, and Stata. The appendix
provides the technical mathematical results used throughout.
Written in nontechnical terms accessible to nonspecialists, this
book explains the basic ideas in frailty modeling and statistical
techniques, with a focus on real-world data application and
interpretation of the results. By applying several models to the
same data, it allows for the comparison of their advantages and
limitations under varying model assumptions. The book also employs
simulations to analyze the finite sample size performance of the
models.
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