Linked Life Data

19673861

Source:http://linkedlifedata.com/resource/pubmed/id/19673861

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-6-28
pubmed:abstractText
We discuss design and analysis of longitudinal studies after case-control sampling, wherein interest is in the relationship between a longitudinal binary response that is related to the sampling (case-control) variable, and a set of covariates. We propose a semiparametric modeling framework based on a marginal longitudinal binary response model and an ancillary model for subjects' case-control status. In this approach, the analyst must posit the population prevalence of being a case, which is then used to compute an offset term in the ancillary model. Parameter estimates from this model are used to compute offsets for the longitudinal response model. Examining the impact of population prevalence and ancillary model misspecification, we show that time-invariant covariate parameter estimates, other than the intercept, are reasonably robust, but intercept and time-varying covariate parameter estimates can be sensitive to such misspecification. We study design and analysis issues impacting study efficiency, namely: choice of sampling variable and the strength of its relationship to the response, sample stratification, choice of working covariance weighting, and degree of flexibility of the ancillary model. The research is motivated by a longitudinal study following case-control sampling of the time course of attention deficit hyperactivity disorder (ADHD) symptoms.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-10363333, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-10503645, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-10766502, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-11314994, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-12071407, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-12402565, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-15917376, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-16918913, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-18372397, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-2085642, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-3233245, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-7766784, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-9232759, http://linkedlifedata.com/resource/pubmed/commentcorrection/19673861-9666624
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1541-0420
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
66
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
365-73
pubmed:dateRevised
2011-8-15
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Longitudinal studies of binary response data following case-control and stratified case-control sampling: design and analysis.
pubmed:affiliation
Departments of Biostatistics and Anesthesiology, Vanderbilt University School of Medicine, 1161 21st Avenue South, S-2323 Medical Center North, Nashville, Tennessee 37232, USA. jonathan.schildcrout@vanderbilt.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural