Suppr超能文献

具有纵向数据阈值的非线性模型基础。

Foundation for nonlinear models with thresholds for longitudinal data.

作者信息

Bartholomew M J

机构信息

FDA Center for Veterinary Medicine, Division of Biometrics and Production Drugs, Rockville, Maryland 20855, USA.

出版信息

J Biopharm Stat. 2000 Nov;10(4):469-80. doi: 10.1081/BIP-100101979.

Abstract

Threshold models first appeared in the literature nearly half a century ago. Threshold segments have been added to many commonly used forms of models from linear models and generalized linear models through mixed models for the analysis of cross-sectional data. Nonlinear models with thresholds for cross-sectional data are less prevalent in the literature. Nonlinear models with thresholds for longitudinal data are new. The historical developments leading to this point are reviewed as a means of introducing terms necessary for discussing features of these newer models. Nonlinear models for longitudinal data with thresholds are presented and discussed.

摘要

阈值模型首次出现在文献中将近半个世纪前。从线性模型、广义线性模型到用于横截面数据分析的混合模型,许多常用的模型形式都添加了阈值段。用于横截面数据的带阈值的非线性模型在文献中不太常见。用于纵向数据的带阈值的非线性模型是新出现的。回顾导致这一情况的历史发展,以此作为引入讨论这些较新模型特征所需术语的一种方式。本文将介绍并讨论用于纵向数据的带阈值的非线性模型。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验