期刊
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
卷 77, 期 1, 页码 1-9出版社
ELSEVIER SCI IRELAND LTD
DOI: 10.1016/j.cmpb.2004.05.009
关键词
in vitro fertilization; logistic regression; spline approximation; threshold selection; variable knots
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据