Yale University

Partial F-tests with multiply imputed data in the linear regression framework via coefficient of determination.

TitlePartial F-tests with multiply imputed data in the linear regression framework via coefficient of determination.
Publication TypeJournal Article
Year of Publication2014
AuthorsChaurasia, Ashok, and Ofer Harel
JournalStatistics in medicine
Date Published2014 Oct 27
ISSN1097-0258
AbstractTests for regression coefficients such as global, local, and partial F-tests are common in applied research. In the framework of multiple imputation, there are several papers addressing tests for regression coefficients. However, for simultaneous hypothesis testing, the existing methods are computationally intensive because they involve calculation with vectors and (inversion of) matrices. In this paper, we propose a simple method based on the scalar entity, coefficient of determination, to perform (global, local, and partial) F-tests with multiply imputed data. The proposed method is evaluated using simulated data and applied to suicide prevention data. Copyright © 2014 John Wiley & Sons, Ltd.
DOI10.1002/sim.6334
Alternate JournalStat Med

External Links