National Cancer Institute Home at the National Institutes of Health | www.cancer.gov

Publication Abstract

Authors: Harel O, Chung H, Miglioretti D

Title: Latent class regression: inference and estimation with two-stage multiple imputation.

Journal: Biom J 55(4):541-53

Date: 2013 Jul

Abstract: Latent class regression (LCR) is a popular method for analyzing multiple categorical outcomes. While nonresponse to the manifest items is a common complication, inferences of LCR can be evaluated using maximum likelihood, multiple imputation, and two-stage multiple imputation. Under similar missing data assumptions, the estimates and variances from all three procedures are quite close. However, multiple imputation and two-stage multiple imputation can provide additional information: estimates for the rates of missing information. The methodology is illustrated using an example from a study on racial and ethnic disparities in breast cancer severity.

Last Modified: 03 Sep 2013