生存分析自學(xué)教材

內(nèi)容概要

《生存分析自學(xué)教材(第2版)(英文版)》內(nèi)容簡介：This is the second edition of this text on survival an alysis.originally published in 1 996.As in the first edition.each chap.ter contains a presentation of its topic in“l(fā)ecture.book”format together with objectives，an outline，key formulae，pracrice exercises。and a test.The“l(fā)ecture.book”format has as equence of illustrations and formulae in the left column of each page and a script in the right column.This format allows you to read the script in conjunction with the illustrations and formulae that high.1ight the main points，formulae，or exam.ples being presented.

作者簡介

作者：(美國)克雷鮑姆(David G.Kleinbaum)

書籍目錄

PrefaceAcknowledgmentsChapter 1 Introduction to Survival AnalysisIntroductionAbbreviated OutlineObiectivesPresentatiOnDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 2 Kaplan-Meier Survival Curves and the Log-RankTestIntroductionAbbreviated Outline0biectivesPresentationDetailed Outline Practice ExercisesTestAnswers to Practice ExercisesAppendix：Matrix Formula for the Log-Rank Statisticfor Several GroupsChapter 3 The Cox Proportional Hazards Model and Its CharacteristicsIntroductionAbbreviated OutlineObiectivesPresentationDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 4 Evaluating the Proportional Hazards AssumptionIntroductionAbbreviated OutlineObiectivesPresentatiOnDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 5 The Stratified Cox Procedure IntroductionAbbreviated OutlineObjectivesPresentatiOnDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 6 Extension of the Cox Proportional Hazards Model for Time-Dependent VariablesIntroductionAbbreviated OutlineObiectivesPresentationDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 7 Parametric Survival ModelsIntroductionAbbreviated OutlineObiectivesPresentatiOnDetailed OutlinePractice ExercisesTestAnswers to Practice ExercisesChapter 8 Recurrent Event Survival AnalysisChapter 9 Competing Risks Survival AnalysisComputer Appendix：Survival Analysis on the ComputerA.STATAB.SASC.SPSSTest AnswersReferencesIndex

章節(jié)摘錄

版權(quán)頁：插圖：Regarding the first goal，consider,for example，the two survivor functions pictured at the left，which give very different interpretations.The function farther on the left shows a quick drop in survival probabilities early in follow-up but a leveling off thereafter.The function on the right，in contrast，shows a very slow decrease in survival probabflities early in follow：up but a sharp decrease later 0n.We compare survivor functions for a treatment group and a placebo group by graphing these functions on the same axis.Note that up to 6 weeks，the survivor function for the treatment group lies above that for the placebo group，but thereafter the two functions are at about the same level.This dual graph indicates that up to 6 weeks the treatment iS more effective for SUrvival than the placebo but has about the same effect thereafter.Goal 3 usually requires using some form of math-ematical modeling，for example，the Cox proportional hazards approach，which will be the subject of subsequent modules.We previously considered some examples of survival analysis problems and a simple data set involving six persons.We now consider the general data layout for a survival analysis.We will provide two types of data layouts，one giving the form appropriate for computer use，and the other giving the form that helps US understand how a survival analysis works.

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