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Counting Processes and Survival Analysis

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ISBN-10: 0471769886

ISBN-13: 9780471769880

Edition: 1991

Authors: Thomas R. Fleming, David P. Harrington

List price: $145.95
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Description:

Explores the martingale approach to the statistical analysis of counting processes, with an emphasis on application of those methods to censored failure time data. Introduced in the 1970s, this approach has proven to be remarkably successful in yielding results about statistical methods for many problems arising in censored data. Offers a thorough treatment of both the calculus of martingales needed for the study of counting processes and of the most important applications of these methods to censored data. In addition, it examines classical problems in asymptotic distribution theory for counting process methods as well as some newer methods for graphical analysis and diagnostics of…    
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Book details

List price: $145.95
Copyright year: 1991
Publisher: John Wiley & Sons, Incorporated
Publication date: 8/12/2013
Binding: Paperback
Pages: 464
Size: 5.98" wide x 8.27" long x 1.07" tall
Weight: 1.100
Language: English

David Harrington's affinity for art began at a young age, when he drew on everything-except paper. Since receiving a BFA from the Art Center College of Design in Pasadena, California, he has illustrated numerous children's books, including Pelican's Pecos Bill Invents the Ten-Gallon Hat, winner of the WWA Spur Award, Chachalaca Chiquita, Ole! Cinco de Mayo!, and The Boy Who Wouldn't Read.

Preface
The Applied Setting
The Counting Process and Martingale Framework
Local Square Integrable Martingales
Finite Sample Moments and Large Sample Consistency of Tests and Estimators
Censored Data Regression Models and Their Application
Martingale Central Limit Theorem
Large Sample results of the Kaplan-Meier Estimator
Weighted Logrank Statistics
Distribution Theory for Proportional Hazards Regression
Some Results from stieltjes Integration and Probability Theory
An Introduction to Weak convergence
The Martingale Central Limit Theorem: Some Preliminaries
Data
Exercises
Bibliography
Notation
Author Index
Subject Index