Survival Models and Data Analysis / Edition 1

by Regina C. Elandt-Johnson, Norman L. Johnson

Overview

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.

Product Details

ISBN-13:	9780471031741
Publisher:	Wiley
Publication date:	09/17/1980
Series:	Wiley Series in Probability and Statistics , #110
Pages:	480
Product dimensions:	6.30(w) x 9.06(h) x 1.14(d)

About the Author

About the authors REGINA C. ELANDT-JOHNSON has been Professor of Biostatistics at the University of North Carolina at Chapel Hill since 1964. She is the author of Probability Models and Statistical Methods in Genetics (Wiley, 1971). Dr. Elandt-Johnson received her Ph.D. in statistics from Poznan Agricultural University in 1957. NORMAN L. JOHNSON is Alumni Distinguished Professor at the University of North Carolina at Chapel Hill. Dr. Johnson served as Chairman of the Fisher Memorial Lecture Committee, American Statistical Association from 1976 until 1979. He is co-author of Distributions in Statistics (Wiley, 1969-1972); URN Models and their Applications (Wiley, 1977); and Statistics and Experimental Design in Engineering and Physical Sciences (Wiley, 1977). Dr. Johnson received his D.Sc. in statistics from University College, London in 1963.

Table of Contents

SURVIVAL MEASUREMENTS AND CONCEPTS.

Survival Data.

Measures of Mortality and Morbidity. Ratios, Proportions, andMeans.

Survival Distributions.

MORTALITY EXPERIENCES AND LIFE TABLES.

Life Tables: Fundamentals and Construction.

Complete Mortality Data. Estimation of Survival Function.

Incomplete Mortality Data: Follow-Up Studies.

Fitting Parametric Survival Distributions.

Comparison of Mortality Experiences.

MULTIPLE TYPES OF FAILURE.

Theory of Competing Causes: Probabilistic Approach.

Multiple Decrement Life Tables.

Single Decrement Life Tables Associated with Multiple DecrementLife Tables: Their Interpretation and Meaning.

Estimation and Testing Hypotheses in Competing Risk Analysis.

SOME MORE ADVANCED TOPICS.

Concomitant Variables in Lifetime Distributions Models.

Age of Onset Distributions.

Models of Aging and Chronic Diseases.

Indexes.

Editorial Reviews

Combines material and techniques developed in several different disciplines, such as epidemiology, reliability theory, and statistical methods, on what with a slight shift of emphasis could be called mortality data, as they appear in a myriad of contexts from small-scale laboratory tests to massive records of long-term clinical trials. Sets out general principles of the various models and includes exercises that can be worked out different ways in order to discourage people from mistaking any particular method for exclusive truth. Annotation c. by Book News, Inc., Portland, Or.

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