Survival and Event History Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

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Aalen, Odd O./ Borgan, Ornulf/ Gjessing, Hakon K. 作者

译者

2008-8 出版日期

560 页数

$ 157.07 价格

丛书系列

9780387202877 图书编码

Survival and Event History Analysis 在线电子书图书标签: 统计随机过程生存分析

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Survival and Event History Analysis 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

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生存分析的随机(点)过程视角，比随机的人写得还清楚

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生存分析的随机(点)过程视角，比随机的人写得还清楚

评分☆☆☆☆☆

生存分析的随机(点)过程视角，比随机的人写得还清楚

评分☆☆☆☆☆

生存分析的随机(点)过程视角，比随机的人写得还清楚

评分☆☆☆☆☆

生存分析的随机(点)过程视角，比随机的人写得还清楚

Survival and Event History Analysis 在线电子书著者简介

Survival and Event History Analysis 在线电子书图书目录

Survival and Event History Analysis 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Survival and Event History Analysis 在线电子书图书描述

The aim of this book is to bridge the gap between standard textbook models and a range of models where the dynamic structure of the data manifests itself fully. The common denominator of such models is stochastic processes. The authors show how counting processes, martingales, and stochastic integrals fit very nicely with censored data. Beginning with standard analyses such as Kaplan-Meier plots and Cox regression, the presentation progresses to the additive hazard model and recurrent event data. Stochastic processes are also used as natural models for individual frailty; they allow sensible interpretations of a number of surprising artifacts seen in population data. The stochastic process framework is naturally connected to causality. The authors show how dynamic path analyses can incorporate many modern causality ideas in a framework that takes the time aspect seriously. To make the material accessible to the reader, a large number of practical examples, mainly from medicine, are developed in detail. Stochastic processes are introduced in an intuitive and non-technical manner. The book is aimed at investigators who use event history methods and want a better understanding of the statistical concepts. It is suitable as a textbook for graduate courses in statistics and biostatistics.

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