当前位置： SCI文献检索 > JOURNAL OF CLINICAL EPIDEMIOLOGY期刊下所有文献 > Multiple imputation was an efficient method for harmonizing the Mini-Mental State Examination with missing item-level data.

Multiple imputation was an efficient method for harmonizing the Mini-Mental State Examination with missing item-level data.

Abstract：

OBJECTIVE:The Mini-Mental State Examination (MMSE) is used to estimate current cognitive status and as a screen for possible dementia. Missing item-level data are commonly reported. Attention to missing data is particularly important. However, there are concerns that common procedures for dealing with missing data, for example, listwise deletion and mean item substitution, are inadequate. STUDY DESIGN AND SETTING:We used multiple imputation (MI) to estimate missing MMSE data in 17,303 participants who were drawn from the Dynamic Analyses to Optimize Aging project, a harmonization project of nine Australian longitudinal studies of aging. RESULTS:Our results indicated differences in mean MMSE scores between those participants with and without missing data, a pattern consistent over age and gender levels. MI inflated MMSE scores, but differences between those imputed and those without missing data still existed. A simulation model supported the efficacy of MI to estimate missing item level, although serious decrements in estimation occurred when 50% or more of item-level data were missing, particularly for the oldest participants. CONCLUSIONS:Our adaptation of MI to obtain a probable estimate for missing MMSE item level data provides a suitable method when the proportion of missing item-level data is not excessive.

journal_name

J Clin Epidemiol

journal_title

Journal of clinical epidemiology

authors

Burns RA,Butterworth P,Kiely KM,Bielak AA,Luszcz MA,Mitchell P,Christensen H,Von Sanden C,Anstey KJ

doi

10.1016/j.jclinepi.2010.10.011

subject

Has Abstract

pub_date

2011-07-01 00:00:00

pages

787-93

issue

7

eissn

0895-4356

issn

1878-5921

pii

S0895-4356(10)00363-X

journal_volume

64

pub_type

杂志文章

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