Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
17
pubmed:dateCreated
2005-8-31
pubmed:abstractText
This article is concerned with a dose-response study where the doses are subject-specific. The motivating example is a study on the use of radioiodine in metastatic thyroid cancer where the dose is individualized for each subject based on pharmacokinetic models of clearance of the agent. The goal is to design a study that will estimate the probability of response within a specified precision. This setup does not fit into well-studied dose-response designs primarily because doses are subject-specific. Here the dose-response relationship is modelled using logistic regression and a second-order approximation to the asymptotic variance of the model parameters is developed. The resulting procedure is simple to apply and requires minimal assumptions regarding the distribution of the dose levels. Simulation studies establish that, for a reasonable range of parameter values, the approximation is reasonably accurate. A Monte Carlo procedure is developed as well for cases when the approximation performs poorly. The proposed method is applied to the thyroid cancer study, including elicitation of parameters and a sensitivity analysis. Computer code in SAS and R are provided in the Appendix.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0277-6715
pubmed:author
pubmed:copyrightInfo
Copyright (c) 2005 John Wiley & Sons, Ltd.
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
24
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2613-23
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Planning a dose-response study with subject-specific doses.
pubmed:affiliation
Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA. gonenm@mskcc.org
pubmed:publicationType
Journal Article