Applying concepts of generalizability theory on data from experimental pain studies to investigate reliability

Assam Pryseley; Edouard Y Ledent; Asbjørn M Drewes; Camilla Staahl; Anne E Olesen; Lars Arendt-Nielsen

doi:10.1111/j.1742-7843.2009.00408.x

Applying concepts of generalizability theory on data from experimental pain studies to investigate reliability

Basic Clin Pharmacol Toxicol. 2009 Aug;105(2):105-12. doi: 10.1111/j.1742-7843.2009.00408.x. Epub 2009 Mar 27.

Authors

Assam Pryseley¹, Edouard Y Ledent, Asbjørn M Drewes, Camilla Staahl, Anne E Olesen, Lars Arendt-Nielsen

Affiliation

¹ Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Diepenbeek, Limburg, Belgium.

PMID: 19389040
DOI: 10.1111/j.1742-7843.2009.00408.x

Abstract

This work demonstrates how full modelling power in statistically mixed models can be used to study generalizability (reliability) coefficients of advanced data from human experimental pain studies utilizing placebo data from drug screening trials. This can be used to help optimizing outcome parameters from existing data sets.

Publication types

Randomized Controlled Trial

MeSH terms

Adolescent
Adult
Cross-Over Studies
Double-Blind Method
Electric Stimulation
Humans
Linear Models
Pain / drug therapy*
Pain Measurement*
Pain Threshold
Reproducibility of Results*