Congenial Multiple Imputation and Matched Pairs Models for Square Tables

Shukur, Ghazi (author): Jönköping University,IHH, Economics, Finance and Statistics,Statistik

(creator_code:org_t)

2013-05-08
2013
English.
In: Journal of Business Administration Research. - : Sciedu Press. - 1927-9507 .- 1927-9515. ; 2:1, s. -8

Related links:: http://www.sciedu.ca...; show more...; https://urn.kb.se/re...; https://doi.org/10.5...; show less...

Abstract Subject headings

Experimental studies often measure an individual’s quality of life before and after an intervention, with the data organized into a square table and analyzed using matched pair modeling. However, it is not unusual to find missing data in either round (i.e., before and/or after) of such studies and the use of multiple imputations with matched-pair modeling remains relatively unreported in the applied statistics literature. In this paper we introduce an approach which maintains dependency of responses over time and makes a match between the imputer and the analyst. We use ‘before’ and ‘after’ quality-of-life data from a randomized controlled trial to demonstrate how multiple imputation and matched-pair modeling can be congenially combined, avoiding a possible mismatch of imputation and analyses, and to derive a properly consolidated analysis of the quality-of-life data. We illustrate this strategy with a real-life example of one item from a quality-of-life study that evaluates the effectiveness of patients’ self-management of anticoagulation versus standard care as part of a randomized controlled trial.

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