Analysis of Longitudinal Outcome Data with Missing Values in Total Knee Arthroplasty.

Publication Year
2016

Type

Journal Article
Abstract

We sought to determine the influence of missing data on the statistical results, and to determine which statistical method is most appropriate for the analysis of longitudinal outcome data of TKA with missing values among repeated measures ANOVA, generalized estimating equation (GEE) and mixed effects model repeated measures (MMRM). Data sets with missing values were generated with different proportion of missing data, sample size and missing-data generation mechanism. Each data set was analyzed with three statistical methods. The influence of missing data was greater with higher proportion of missing data and smaller sample size. MMRM tended to show least changes in the statistics. When missing values were generated by 'missing not at random' mechanism, no statistical methods could fully avoid deviations in the results.

Journal
J Arthroplasty
Volume
31
Issue
1
Pages
81-6
Date Published
2016 Jan
ISSN Number
1532-8406
Alternate Journal
J Arthroplasty
PMID
26248852