Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood
Joint Authors
Saarela, Olli
Karvanen, Juha
Kulathinal, Sangita
Source
Journal of Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-37, 37 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-24
Country of Publication
Egypt
No. of Pages
37
Main Subjects
Abstract EN
Under cohort sampling designs, additional covariate data are collected on cases of a specific type and a randomly selected subset of noncases, primarily for the purpose of studying associations with a time-to-event response of interest.
With such data available, an interest may arise to reuse them for studying associations between the additional covariate data and a secondary non-time-to-event response variable, usually collected for the whole study cohort at the outset of the study.
Following earlier literature, we refer to such a situation as secondary analysis.
We outline a general conditional likelihood approach for secondary analysis under cohort sampling designs and discuss the specific situations of case-cohort and nested case-control designs.
We also review alternative methods based on full likelihood and inverse probability weighting.
We compare the alternative methods for secondary analysis in two simulated settings and apply them in a real-data example.
American Psychological Association (APA)
Saarela, Olli& Kulathinal, Sangita& Karvanen, Juha. 2012. Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood. Journal of Probability and Statistics،Vol. 2012, no. 2012, pp.1-37.
https://search.emarefa.net/detail/BIM-509164
Modern Language Association (MLA)
Saarela, Olli…[et al.]. Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood. Journal of Probability and Statistics No. 2012 (2012), pp.1-37.
https://search.emarefa.net/detail/BIM-509164
American Medical Association (AMA)
Saarela, Olli& Kulathinal, Sangita& Karvanen, Juha. Secondary Analysis under Cohort Sampling Designs Using Conditional Likelihood. Journal of Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-37.
https://search.emarefa.net/detail/BIM-509164
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509164