教程地址:https://www.statology.org/piecewise-regression-in-r/ 分段回归(Piecewise Regression),也称为分段线性回归或阶梯回归,是一种用于描述变量之间关系在不同区间内有不同模式的统计模型。在简单线性回归中,我们假设因变量和自变量之间有一个恒定的关系,用一条直线来描述。然而,在许多情况下,这种关系可能在不...
A package for survival time prediction based on a piecewise baseline hazard Cox regression model.Douaa Mugahid
A numerical test of identity of hazards in Cox's regression model in the case when the observations have been stratified according to some covariate (possibly time-dependent) and the regression coefficient is common to all strata is proposed. The test is applied to analysis of the effect of ea...
Final analysis tests include the log-rank test, Cox proportional hazards regression Wald test, and a Bayesian test that compares the absolute difference in cumulative incidence functions at a fixed time point. Broglio et al. (2014) refer to this as a Goldilocks trial design, as it is ...
A particular attention is given to data exhibiting time-varying regression coefficients. The class of multiplicative models is represented by Cox PH model and Gray's TVC model, respectively, and for additive models we use Aalen's linear model. Both Gray's TVC model and Aalen's linear model ...