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.
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A detailed survey of methods which utilize data from population censuses and other demographic sources, actuarial records, and clinical trials. Analyzes similarities and differences between the various methods, providing criteria for determining methodological suitability for particular problems.
--This text refers to the
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This book describes methods of analyzing survival data and construction of interpretative models. The authors guide the reader in the use of the literature, assist in the choice of appropriate methods, and warn against uncritical use. Emphasis is on the ideas behind the methods and interpretation of results. Numerical examples from diverse fields are worked out in considerable detail. Part I introduces the type of data to be analyzed and basic concepts useful in analysis. Part II deals with problems that relate to univariate survival functions. It includes construction of life tables from population (cross sectional) data and experimental follow-up data. Methods are mostly nonparametric, though fitting parametric distributions and comparisons of two or more mortality experiences are discussed. Part III concerns multiple failure data, identifying time and cause of death. This section treats parametric and nonparametric theories of competing causes, and estimation of different kinds of failure distributions. Part IV presents selected, advanced topics, including speculative mathematical models of disease progression and survival. These are intended to suggest some of the ways models may be constructed. Survival Models and Data Analysis is a guide for biostatisticians, statisticians, mathematicians, biologists, biomedical personnel, sociologists, and students. Mathematics are employed when in the interests of clarification and consistency; thus, a knowledge of algebra and introductory calculus is presupposed.
--This text refers to the
Hardcover
edition.
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Inside This Book
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The title of this book indicates that we discuss the treatment of "mortality data." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
complete mortality data, overall survival function, single decrement life tables, crude hazard rate, multiple decrement life tables, separate life tables, initial exposed, life table functions, central death rate, joint survival function, actuarial estimator, population mortality data, survival distribution function, concomitant variables, onset distribution, population life table, complete life table, hazard rate function, abridged life table, forbidden clones, competing risk analysis, select period, mice data, waiting time distribution, survival distributions Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, Comparison of Mortality Experiences, Equivalence Theorem, Frequency Survival, Cambridge University Press, Cancer Inst, Chapel Hill, Gumbel Type, Institute of Actuaries, Lite Tables, Seminar Press, University of North Carolina, Biomedical Sciences, Department of Biostatistics, Government Printing Office, Number Number, Rank Obs, Society of Actuaries, Third National Cancer Survey, University of California Press New!
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The title of this book indicates that we discuss the treatment of "mortality data." Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
complete mortality data, overall survival function, single decrement life tables, crude hazard rate, multiple decrement life tables, separate life tables, initial exposed, life table functions, central death rate, joint survival function, actuarial estimator, population mortality data, survival distribution function, concomitant variables, onset distribution, population life table, complete life table, hazard rate function, abridged life table, forbidden clones, competing risk analysis, select period, mice data, waiting time distribution, survival distributions Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, Comparison of Mortality Experiences, Equivalence Theorem, Frequency Survival, Cambridge University Press, Cancer Inst, Chapel Hill, Gumbel Type, Institute of Actuaries, Lite Tables, Seminar Press, University of North Carolina, Biomedical Sciences, Department of Biostatistics, Government Printing Office, Number Number, Rank Obs, Society of Actuaries, Third National Cancer Survey, University of California Press New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 53
books:
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100
books
cite this book:
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- Continuous Univariate Distributions, Vol. 1 (Wiley Series in Probability and Statistics) by Norman L. Johnson on page 75, page 221, and page 292
- Survival Distributions: Reliability Applications in the Biomedical Sciences (Probability & Mathematical Statistics) by Alan John Gross on page 220, page 262, and page 384
- Mortality Table Construction by Robert W. Batten on page 38, and page 175
- Theory of Competing Risks (Griffin's Statistical Monographs and Courses : No. 39) by H. A. David on page 291, and page 340
- A Course in Modern Algebra (Wiley Classics Library) by Peter Hilton in Back Matter
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- Applied Life Data Analysis (Wiley Series in Probability and Statistics) by Wayne B. Nelson on page 567, Back Matter (1), and Back Matter (2)
- Statistical Methods for Reliability Data (Wiley Series in Probability and Statistics) by William Q. Meeker in Back Matter (1), and Back Matter (2)
- All That's Holy: A Young Guy, an Old Car, and the Search for God in America by Tom Levinson in Back Matter (1), and Back Matter (2)
- Case Studies in Biometry by Nicholas Lange in Back Matter (1), and Back Matter (2)
- Biostatistical Methods: The Assessment of Relative Risks (Wiley Series in Probability and Statistics) by John M. Lachin in Back Matter (1), and Back Matter (2)
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