You are here

Analysis of secondary outcomes in nested case-control study designs.

TitleAnalysis of secondary outcomes in nested case-control study designs.
Publication TypeJournal Article
Year of Publication2014
AuthorsKim, RS, Kaplan, RC
JournalStat Med
Volume33
Issue24
Pagination4215-26
Date Published2014 Oct 30
ISSN1097-0258
KeywordsAged, Aged, 80 and over, C-Reactive Protein, Case-Control Studies, Cohort Studies, Computer Simulation, Data Interpretation, Statistical, Female, Heart Failure, Humans, Intermittent Claudication, Male, Sample Size, Treatment Outcome
Abstract<p>One of the main perceived advantages of using a case-cohort design compared with a nested case-control design in an epidemiologic study is the ability to evaluate with the same subcohort outcomes other than the primary outcome of interest. In this paper, we show that valid inferences about secondary outcomes can also be achieved in nested case-control studies by using the inclusion probability weighting method in combination with an approximate jackknife standard error that can be computed using existing software. Simulation studies demonstrate that when the sample size is sufficient, this approach yields valid type 1 error and coverage rates for the analysis of secondary outcomes in nested case-control designs. Interestingly, the statistical power of the nested case-control design was comparable with that of the case-cohort design when the primary and secondary outcomes were positively correlated. The proposed method is illustrated with the data from a cohort in Cardiovascular Health Study to study the association of C-reactive protein levels and the incidence of congestive heart failure.</p>
DOI10.1002/sim.6231
Alternate JournalStat Med
PubMed ID24919979
PubMed Central IDPMC4184936
Grant ListUL1 RR025750 / RR / NCRR NIH HHS / United States
1R01AG031890 / AG / NIA NIH HHS / United States
1UL1RR025750-01 / RR / NCRR NIH HHS / United States
P30 CA01330-35 / CA / NCI NIH HHS / United States
UL1 TR001073 / TR / NCATS NIH HHS / United States
R01 AG031890 / AG / NIA NIH HHS / United States