Survival Models and Data Analysis
1st Edition
Published on 25. March 1999
Book
Paperback/Softback
480 pages
978-0-471-34992-1 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
Thickness: 28 mm
Weight
766 gr
ISBN-13
978-0-471-34992-1 (9780471349921)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Regina C. Elandt-Johnson | Norman L. Johnson
Survival Models and Data Analysis
E-Book
11/2014
Wiley
€152.99
Available for download
Regina C. Elandt-Johnson | Norman L. Johnson
Survival Models and Data Analysis
E-Book
11/2014
Wiley
€148.99
Available for download
Regina C. Elandt-Johnson | Norman L. Johnson
Survival Models and Data Analysis
Book
11/1980
1st Edition
Wiley
€278.50
Shipment within 10-20 days
Persons
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.
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.
Content
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.
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.