http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Counting processes and survival analysis
1 online resource (xiii, 429 pages : : illustrations.)
This study explores the martingale approach to the statistical analysis of counting processes, with an emphasis on the application of these methods to censored failure time data.
Machine derived contents note: 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 Log Rank Statistics. -- Distribution Theory for Proportional Hazards Regression. -- Appendices. -- Bibliography. -- Notation. -- Author Index. -- Subject Index.
Includes bibliographical references (pages 401-412) and indexes.
Wiley series in probability and mathematical statistics