Mixture normal models in which the proportions of susceptibility are related to dose levels

DOI10.1007/S10255-010-0020-3zbMath1327.62106OpenAlexW2059023722MaRDI QIDQ993681

De-Hui Wang, Lixin Song, Bing He, Min Chen

Publication date: 20 September 2010

Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10255-010-0020-3

zbMATH Keywords

EM-algorithmsusceptibilitydose-responsemixture normal models

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Cites Work

• On using Lehmann alternatives with nonresponders
• Locally Most Powerful Tests for Detecting Treatment Effects When Only a Subset of Patients Can Be Expected to "Respond" to Treatment
• Risk Assessment for Quantitative Responses Using a Mixture Model
• Statistical methods of risk assessment for continuous variables
• A Locally Most Powerful Test for Detecting a Treatment Effect in the Presence of Nonresponders

This page was built for publication: Mixture normal models in which the proportions of susceptibility are related to dose levels