Regression splines for threshold selection in survival data analysis
2001; Wiley; Volume: 20; Issue: 2 Linguagem: Inglês
10.1002/1097-0258(20010130)20
ISSN1097-0258
AutoresNicolas Molinari, Jean-Pierre Daur�s, J.‐F. Durand,
Tópico(s)Health Systems, Economic Evaluations, Quality of Life
ResumoThe Cox proportional hazards model restricts the hazard ratio to be linear in the covariates. A survival model based on data from a clinical trial is developed using spline functions with variable knots to estimate the log hazard function. Moreover, the main point of the method is that a knot, seen as free parameters for a piecewise linear spline, represents a break point in the log hazard function which may be interpreted as a threshold value. The likelihood ratio test is used to select the final model and to determine the threshold number for a covariate. Confidence intervals for these threshold values are computed by bootstrapping the data. Two examples illustrate the method.
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