TY - JOUR PY - 2014// TI - Partial F-tests with multiply imputed data in the linear regression framework via coefficient of determination JO - Statistics in Medicine A1 - Chaurasia, Ashok A1 - Harel, Ofer SP - 432 EP - 443 VL - 34 IS - 3 N2 - Tests 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.
Language: en
LA - en SN - 0277-6715 UR - http://dx.doi.org/10.1002/sim.6334 ID - ref1 ER -