Titlebook: Survival Analysis; Techniques for Censo John P. Klein,Melvin L. Moeschberger Textbook 19971st edition Springer Science+Business Media New Y

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John P. Klein,Melvin L. Moeschbergertest. Yet it can be read independently by anyone familiar with some factual theories, referring back to Volume I when necessary. Special Symbols AS;B the set A is included in the set B AvB the union of the sets A and B AnB the common part of the sets A and B aEB the individual a is in (or belongs to

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John P. Klein,Melvin L. Moeschbergertest. Yet it can be read independently by anyone familiar with some factual theories, referring back to Volume I when necessary. Special Symbols AS;B the set A is included in the set B AvB the union of the sets A and B AnB the common part of the sets A and B aEB the individual a is in (or belongs to

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scientific attitude is not to forbid such jumps but to keep them under control. In this, the last chapter, we shall investigate how such a control is exerted and we shall see that it is severely limited: there are no fool-proof criteria for jumping to the right “conclusions” unless these are conclu

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Examples of Survival Data, economics, and demography. Although the statistical tools we shall present are applicable to all these disciplines, our focus is on applying the techniques to biology and medicine. In this chapter, we present some examples drawn from these fields that are used throughout the text to illustrate the

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Basic Quantities and Models,in sections 2.2–2.4. In section 2.5, some common parametric models are discussed. The important application of regression to survival analysis is covered in section 2.6, where both parametric and semiparametric models are presented.

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