Reliability studies can be designed more efficiently by using variance components estimates from different sources.

Reliability studies can be designed more efficiently by using variance components estimates from different sources. Research Abstract Details 

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Reliability studies can be designed more efficiently by using variance components estimates from different sources. Abstract Text:

Anne M Euser,Saskia le Cessie,Martijn J J Finken,Jan M Wit,Friedo W Dekker, ,

OBJECTIVES: Reliability studies are frequently organized within the context of a large (multicenter) study, with only a small sample of subjects measured by the observers of the large study. To estimate interobserver reliability, data from the large study are not frequently used. In this article, the advantages of combining data from the reliability study and the large study to improve the estimation of intra-class correlation coefficients (ICCs) are highlighted. STUDY DESIGN AND SETTING: This was done within the scope of estimating fat percentages in the Project On Preterm and Small-for-gestational-age infants-19 (POPS-19) study and with simulations. To calculate ICCs, three approaches were used: (1) the classical approach using data from a reliability study only, (2) the combined variances approach using inter-subject variances from the POPS-19 study, and (3) the maximum likelihood approach using all data. RESULTS: The ICCs (95% confidence interval [CI]) for fat percentage calculated by the three approaches were 0.84 (0.57, 0.99), 0.94 (0.90, 0.97), and 0.94 (0.88, 0.97), respectively. CONCLUSION: The efficient use of data by combining data from a small reliability study with the data from the large study itself for the calculation of ICCs will lead to more precise ICCs.

Reliability studies can be designed more efficiently by using variance components estimates from different sources. Publishing Authors By Initials

AM Euser,S le Cessie,MJ Finken,JM Wit,FW Dekker, ,

For similar diagnosis: diagnostic techniques and procedures: physical examination: body constitution: body weights and measures: skinfold thickness research abstracts see: diagnosis: diagnostic techniques and procedures: physical examination: body constitution: body weights and measures: skinfold thickness research

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Reliability studies can be designed more efficiently by using variance components estimates from different sources. Journal Published:

PUBLICATION TYPE: Research Support, Non-U.S. Gov

Journal: Journal of clinical epidemiology

VOLUME: 60

Page Numbers: 1010-4

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ISSN: 0895-4356

DAY: 1

MONTH: 08

YEAR: 2007

Reliability studies can be designed more efficiently by using variance components estimates from different sources. Information

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LANGUAGE: eng

NlmUniqueID: 8801383

Reliability studies can be designed more efficiently by using variance components estimates from different sources. Keywords Mesh Terms:

KEYWORDS: Skinfold Thickness

MESH TERMS: methods

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Grant and Affiliation Information for Reliability studies can be designed more efficiently by using variance components estimates from different sources.

AFFILIATION: Department of Clinical Epidemiology, Leiden University Medical Center, Albinusdreef 2, P.O.Box 9600, 2300 RC Leiden, The Netherlands.

Country: England

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MEDLINETA: J Clin Epidemiol

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