Titlebook: Survival Analysis; A Self-Learning Text David G. Kleinbaum,Mitchel Klein Textbook 2012Latest edition Springer Science+Business Media, LLC,

令人不愉快

书目名称Survival Analysis影响因子(影响力)




书目名称Survival Analysis影响因子(影响力)学科排名




书目名称Survival Analysis网络公开度




书目名称Survival Analysis网络公开度学科排名




书目名称Survival Analysis被引频次




书目名称Survival Analysis被引频次学科排名




书目名称Survival Analysis年度引用




书目名称Survival Analysis年度引用学科排名




书目名称Survival Analysis读者反馈




书目名称Survival Analysis读者反馈学科排名

反叛者

策略

Introduction to Survival Analysis, type of problem addressed by survival analysis, the outcome variable considered, the need to take into account “censored data,” what a survival function and a hazard function represent, basic data layouts for a survival analysis, the goals of survival analysis, and some examples of survival analysis.

愉快吗

Excise

离开真充足

大门在汇总

Evaluating the Proportional Hazards Assumption,We begin with a brief review of the characteristics of the Cox proportional hazards (PH) model. We then give an overview of three methods for checking the PH assumption: graphical, goodness-of-fit (GOF), and time-dependent variable approaches.

GRILL

The Stratified Cox Procedure,We begin with an example of the use of the stratified Cox procedure for a single predictor that does not satisfy the PH assumption. We then describe the general approach for fitting a stratified Cox model, including the form of the (partial) likelihood function used to estimate model parameters.

EXCEL

Extension of the Cox Proportional Hazards Model for Time-Dependent Variables,We begin by defining a time-dependent variable and providing some examples of such a variable. We also state the general formula for a Cox model that is extended to allow time dependent variables, followed by a discussion of the characteristics of this model, including a description of the hazard ratio.

Pillory