Optimal designs for full and partial likelihood information -- with application to survival models
type: Item
instance of: scholarly article
title: Optimal designs for full and partial likelihood information -- with application to survival models
zbMATH Open document ID: 1326.62170
author: Maria Konstantinou
author: Stefanie Biedermann
author: A. C. Kimber
published in: Journal of Statistical Planning and Inference
publication date: 2015-11-23T00:00:00Z
full work available at URL: PDF 72262.pdf
Mathematics Subject Classification ID: 62K05
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62N01
Mathematics Subject Classification ID: 62N05
zbMATH DE Number: 6513054
zbMATH Keywords: right-censoring
zbMATH Keywords: Cox's model
zbMATH Keywords: optimal design
zbMATH Keywords: full likelihood
zbMATH Keywords: partial likelihood
MaRDI profile type: Publication
OpenAlex ID: W1975638297
cites work: Cox's regression model for counting processes: A large sample study
cites work: Q3445852
cites work: OPTIMAL DESIGNS FOR FITTING A PROPORTIONAL HAZARDS REGRESSION MODEL TO DATA SUBJECT TO CENSORING
cites work: Q4437934
cites work: Q5654899
cites work: The Efficiency of Cox's Likelihood Function for Censored Data
cites work: Efficiency of Balanced Treatment Allocation for Survival Analysis
cites work: Q5413264
cites work: Optimal experimental designs for partial likelihood information
cites work: Investigating design for survival models
cites work: Planning step‐stress life test with progressively type I group‐censored exponential data
DOI: 10.1016/J.JSPI.2015.03.007
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description: scientific article; zbMATH DE number 6513054