Boek
The place in survival analysis now occupied by proportional hazards models andtheir generalizations is so large that it is no longer conceivable to offer acourse on the subject without devoting at least half of the content to thistopic alone. This book focuses on the theory and applications of a very broadclass of models proportional hazards and nonproportional hazards models theformer being viewed as a special case of the latter which underlie modernsurvival analysis. Unlike other books in this area the emphasis is not onmeasure theoretic arguments for stochastic integrals and martingales. Insteadwhile inference based on counting processes and the theory of martingales iscovered much greater weight is placed on more traditional results such as thefunctional central limit theorem. TOCIntroduction. Background probability.Background inference. Background survival analysis. Marginal survival.Regression models and subject heterogeneity. Estimating equations. Inferencefunctions of the Brownian motion. Inference likelihood. Inference countingprocesses. Inference small samples. Inference changepoint models.Explained variation. Explained randomness. Survival given covariates. Proofsof theorems lemmas and corollaries. «
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