Does Selecting Covariates Using Factor Analysis in Mapping Algorithms Improve Predictive Accuracy? A Case of Predicting EQ-5D-5L and SF-6D Utilities from the Women ’s Health Questionnaire

In addition to theoretical justifications, many statistical methods have been used for selecting covariates to include in algorithms mapping nonutility measures onto utilities. However, it is not clear whether using exploratory factor analysis (EFA) as one such method improves the predictive ability of these algorithms.

Source: Value in Health - April 28, 2018 Category: International Medicine & Public Health Authors: Billingsley Kaambwa, Caroline Smith, Sheryl de Lacey, Julie Ratcliffe Source Type: research