Free knot splines for logistic models and threshold selection

被引：14

作者：

Bessaoud, F ^{[1
]}

Daures, JP ^{[1
]}

Molinari, N ^{[1
]}

机构：

[1] Univ Montpellier, Inst Rech Clin, Lab Biostat, F-34093 Montpellier, France

来源：

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE | 2005年 / 77卷 / 01期

关键词：

in vitro fertilization; logistic regression; spline approximation; threshold selection; variable knots;

D O I：

10.1016/j.cmpb.2004.05.009

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The logistic regression model has been in use in statistical analysis for many years. The paper introduces a spline model to remove the linear restriction on logit function. By considering knot locations as free variables, spline approximation of data is improved. The number of knots and the degree of the spline functions can still be determined by using a model selection procedure. Moreover, a knot, seen as a free parameter for a piecewise linear spline, represents a break point in the logit function which may be interpreted as a threshold value. This method is applied to a clinical trial for an in vitro fertilization program. (C) 2004 Elsevier Ireland Ltd. All rights reserved.

引用

页码：1 / 9

页数：9

共 20 条

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