Comparison of intra-individual coefficients of variation on the paired sampling data when inter-individual variations are different between measures

BMC Research Notes
Fumiaki KiyomiKeita Noda

Abstract

Pain intensities of patients are repeatedly measured by Visual Analog Scale (VAS) and Pain Vision (PV) in a clinical research. Two measurements by VAS and PV are performed at the same time. In order to evaluate within patient consistency, intra-individual coefficient of variations (CVs) are compared between measures assuming that the pain status of each patient is stable during the research period. The correlated samples and different inter-individual variation due to different scales of the measures should be taken into account in statistical analysis. The adjustment of covariates will improve the estimation of population mean values of the measures. In this paper, statistical approach to compare the intra-individual CVs is proposed. The approach consists of two steps: (1) estimating population mean values and intra-individual variances of the pain intensities by measure in a mixed effect model framework, (2) computing intra-individual CVs and comparing them between measures. The mixed effect model includes measure and some variables as fixed effects and subject by measure as a random effect. The different inter-individual variations between measures and their covariance reflect the paired sampling in the variance component. T...Continue Reading

References

Jan 28, 2010·Scandinavian Journal of Clinical and Laboratory Investigation·Anwar BoraiGordon Ferns
Nov 25, 2014·BMC Medical Research Methodology·Alexei C IonanKevin K Dobbin
Jan 23, 2015·NeuroImage. Clinical·Janna van BelleSarah Durston
Feb 15, 2015·Journal of Diabetes and Its Complications·Yue-ping JinJian-hua Ma

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Citations

Nov 16, 2017·Acta Odontologica Scandinavica·Christina MejersjöKarin Bäck

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