Survival Models and Data AnalysisSurvival 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. |
Contents
Survival Distributions | |
Life Tables Fundamentals | |
Basic Life Table Functions | |
Experience of A Current Population | |
Abridged Life Tables | |
References | |
Comparison of Mortality Experiences | |
Theory of Competing Causes Probabilistic | |
Multiple Decrement Life Tables | |
Single Decrement Life Tables Associated | |
Single Decrement Life Table References | |
Data | |
Concomitant Variables in Lifetime | |
Age of Onset Distributions | |
Complete Mortality Data Estimation | |
Exercises | |
Fitting Parametric Survival Distributions | |
Models of Aging and Chronic Diseases | |
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Common terms and phrases
alive analysis apply appropriate approximately assume assumption average calculate called cancer cause causes of death Chapter Clearly column comparison complete components conditional consider construct corresponding course crude defined denote depend described discussed disease distribution effect entry estimated evaluated event exact Example Exercise expected experience exponential exposed to risk fact failure fitting fixed formula give given Gompertz hazard rate hypothesis independent individuals initial interval joint known lifetime likelihood Males maximum likelihood means method mortality data multiple Note notice number of deaths observed obtain occur onset overall parameters period persons plot population possible present probability proportion random variable ratio recorded represent respectively sample Section Show significance situations specific standard statistic Suppose survival function Table ti+1 treatment trial unit usually values variables variance withdrawal