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portada First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes
Type
Physical Book
Publisher
Language
English
Pages
208
Format
Hardcover
Dimensions
23.6x15.7x1.5 cm
Weight
0.43 kg.
ISBN13
9781848218895

First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes

Chrysseis Caroni (Author) · Wiley-Iste · Hardcover

First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes - Caroni, Chrysseis

New Book Imported to Taiwan
Delivery: 30 Sep - 08 Oct Shipping: 6 to 7 business days.
NT$ 5,740
NT$ 5,740

Synopsis "First Hitting Time Regression Models: Lifetime Data Analysis Based on Underlying Stochastic Processes"

This book aims to promote regression methods for analyzing lifetime (or time-to-event) data that are based on a representation of the underlying process, and are therefore likely to offer greater scientific insight compared to purely empirical methods. In contrast to the rich statistical literature, the regression methods actually employed in lifetime data analysis are limited, particularly in the biomedical field where D. R. Cox's famous semi-parametric proportional hazards model predominates. Practitioners should become familiar with more flexible models. The first hitting time regression models (or threshold regression) presented here represent observed events as the outcome of an underlying stochastic process. One example is death occurring when the patient's health status falls to zero, but the idea has wide applicability - in biology, engineering, banking and finance, and elsewhere. The central topic is the model based on an underlying Wiener process, leading to lifetimes following the inverse Gaussian distribution. Introducing time-varying covariates and many other extensions are considered. Various applications are presented in detail.

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