Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes

Rafiqul I. Chowdhury; M. Ataharul Islam; Shahariar Huda; Laurent Briollais

首页> 中文期刊>应用数学（英文） >Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes

Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes

开具论文收录证明 >>

期刊封面封底目录下载 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Covariate dependent Markov models dealing with estimation of transition probabilities for higher orders appear to be restricted because of over-parameterization. An improvement of the previous methods for handling runs of events by expressing the conditional probabilities in terms of the transition probabilities generated from Markovian assumptions was proposed using Chapman-Kolmogorov equations. Parameter estimation of that model needs extensive pre-processing and computations to prepare data before using available statistical softwares. A computer program developed using SAS/IML to estimate parameters of the model are demonstrated, with application to Health and Retirement Survey (HRS) data from USA.

著录项

来源
《应用数学（英文）》|2012年第11期|1739-1749|共11页
作者
Rafiqul I. Chowdhury; M. Ataharul Islam; Shahariar Huda; Laurent Briollais;
展开▼
作者单位

Department of Epidemiology and Biostatistics, Western University, London, Canada;

Department of Statistics and OR, King Saud University, Riyadh, KSA;

Department of Statistics and OR, Kuwait University, Kuwait City, Kuwait;

Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Canada;

展开▼
原文格式 PDF
正文语种 chi
中图分类肿瘤学;
关键词
Computer; Program; Markov; Model; Transition; Reverse; Transition; Repeated; Transition;

相似文献

中文文献
外文文献
专利

Parameter Estimation in Logistic Regression for Transition, Reverse Transition and Repeated Transition from Repeated Outcomes

摘要

著录项

相似文献

相关主题

期刊订阅