Advances in Survival Analysis

앞표지
Elsevier, 2004. 1. 30. - 822페이지
Handbook of Statistics: Advances in Survival Analysis covers all important topics in the area of Survival Analysis. Each topic has been covered by one or more chapters written by internationally renowned experts. Each chapter provides a comprehensive and up-to-date review of the topic. Several new illustrative examples have been used to demonstrate the methodologies developed. The book also includes an exhaustive list of important references in the area of Survival Analysis.
  • Includes up-to-date reviews on many important topics
  • Chapters written by many internationally renowned experts
  • Some Chapters provide completely new methodologies and analyses
  • Includes some new data and methods of analyzing them
 

선택된 페이지

목차

GENERAL METHODOLOGY
1
CENSORED DATA AND INFERENCE
105
TRUNCATED DATA AND INFERENCE
195
HAZARD RATE ESTIMATION
209
COMPARISON OF SURVIVAL CURVES
251
COMPETING RISKS AND ANALYSIS
291
VII PROPORTIONAL HAZARDS MODEL AND ANALYSIS
363
ACCELERATED MODELS AND ANALYSIS
431
RECURRENT EVENT DATA ANALYSIS
603
CURRENT STATUS DATA ANALYSIS
625
DISEASE PROGRESSION ANALYSIS
643
GENE EXPRESSIONS AND ANALYSIS
675
QUALITY OF LIFE ANALYSIS
689
FLOWGRAPH MODELS AND APPLICATIONS
729
REPAIR MODELS AND ANALYSIS
747
Subject Index
765

FRAILTY MODELS AND APPLICATIONS
495
MODELS AND APPLICATIONS
519
MULTIVARIATE SURVIVAL DATA ANALYSIS
559
Contents of Previous Volumes
773
저작권

기타 출판본 - 모두 보기

Advances in Survival Analysis
Narayanaswamy Balakrishnan,C.R. Rao
일부보기 - 2004
Advances in Survival Analysis
N. Balakrishnan,Calyampudi Radhakrishna Rao
미리보기 없음 - 2004

자주 나오는 단어 및 구문

accelerated algorithm Applications approach assume assumption asymptotic baseline hazard Biometrika bivariate bootstrap C.R. Rao cancer censored data censoring clinical coefficients competing risks conditional consider convergence counting process covariates Cox model cumulative hazard cumulative incidence cure model curves defined denote density dependent distribution function dropout effect efficient example exponential failure time data frailty model genes given hazard function hazard rate independent individual interval joint model Kaplan–Meier Laan likelihood function linear log-rank Markov matrix maximum likelihood estimator method multivariate nonparametric Nonparametric estimation null hypothesis number of events obtained Order Statistics p-value parameters partial likelihood patients Poisson predictive probability procedure proportional hazards model random variable recurrent event regression model right censored sample score Section semiparametric simulation specific stochastic survival analysis survival data survival function Table test statistic transition treatment truncated variance vector zero

인기 인용구

xxiii 페이지 - Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.‎
1869년 - 2007년까지 142권의 책에 나타남

저자 정보 (2004)

Narayanaswamy Balakrishnan is a distinguished university professor in the Department of Mathematics and Statistics at McMaster University Hamilton, Ontario, Canada. He is an internationally recognized expert on statistical distribution theory, and a book-powerhouse with over 24 authored books, four authored handbooks, and 30 edited books under his name. He is currently the Editor-in-Chief of Communications in Statistics published by Taylor & Francis. He was also the Editor-in-Chief for the revised version of Encyclopedia of Statistical Sciences published by John Wiley & Sons. He is a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. In 2016, he was awarded an Honorary Doctorate from The National and Kapodistrian University of Athens, Athens, Greece. In 2021, he was elected as a Fellow of the Royal Society of Canada.

도서 문헌정보

제목Advances in Survival Analysis
저자Narayanaswamy Balakrishnan, C.R. Rao
발행인Elsevier, 2004
ISBN0080495117, 9780080495118
길이822페이지
  
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