Designs Combining Instrumental Variables with Case-Control: Estimating Principal Strata Causal Effects
Shinohara Russell T.,
Frangakis Constantine E.,
Platz Elizabeth and
Tsilidis Konstantinos
Additional contact information
Shinohara Russell T.: Johns Hopkins University
Frangakis Constantine E.: Johns Hopkins University
Platz Elizabeth: Johns Hopkins University
Tsilidis Konstantinos: University of Ioannina
The International Journal of Biostatistics, 2012, vol. 8, issue 1, 1-21
Abstract:
The instrumental variables framework is commonly used for the estimation of causal effects from cohort samples. However, the combination of instrumental variables with more efficient designs such as case-control sampling requires new methodological consideration. For example, as the use of Mendelian randomization studies is increasing and the cost of genotyping and gene expression data can be high, the analysis of data gathered from more cost-effective sampling designs is of prime interest. We show that the standard instrumental variables analysis does not appropriately estimate the causal effects of interest when the instrumental variables design is combined with the case-control design. We also propose a method that can estimate the causal effects in such combined designs. We illustrate the method with a study in oncology.
Keywords: case-control; instrumental variables; Mendelian randomization; principal stratification; study design (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.2202/1557-4679.1355 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bpj:ijbist:v:8:y:2012:i:1:n:2
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/ijb/html
DOI: 10.2202/1557-4679.1355
Access Statistics for this article
The International Journal of Biostatistics is currently edited by Antoine Chambaz, Alan E. Hubbard and Mark J. van der Laan
More articles in The International Journal of Biostatistics from De Gruyter
Bibliographic data for series maintained by Peter Golla ().