Linked Life Data

7766773

Source:http://linkedlifedata.com/resource/pubmed/id/7766773

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1995-6-30
pubmed:abstractText
The absolute risk is the probability of developing a given disease over a specified time interval given age and risk factors. Gail, et al. (1989, Journal of the National Cancer Institute 81, 1879-1888) obtained point estimates from population-based case control data by combining relative risk estimates from the case control data and composite incidence estimates from the cohort data. They also obtained variance estimates, but they only took into account the variability in estimating relative risks. In this paper, we present variance estimates that take into account all components of variability, namely the variance of relative risk estimates and of baseline incidence estimates, as well as the covariance between the two, the latter term being obtained by using implicit delta method arguments (Benichou and Gail, 1989, The American Statistician 43, 41-44). Simulations demonstrate the validity of such variance estimates as well as of corresponding confidence intervals. These methods are applied to a population-based case control study of breast cancer.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
0006-341X
pubmed:author
pubmed:issnType
Print
pubmed:volume
51
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
182-94
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1995
pubmed:articleTitle
Methods of inference for estimates of absolute risk derived from population-based case-control studies.
pubmed:affiliation
National Cancer Institute, Rockville, Maryland 20892, USA.
pubmed:publicationType
Journal Article, Comparative Study