title: Applying concepts of generalizability theory on data from experimental pain studies to investigate reliability.
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.
authors.affiliation: Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Diepenbeek, Limburg, Belgium.
authors.forename: Assam
authors.initials: A
authors.lastname: Pryseley
authors.forename: Edouard Y
authors.initials: EY
authors.lastname: Ledent
authors.forename: Asbjørn M
authors.initials: AM
authors.lastname: Drewes
authors.forename: Camilla
authors.initials: C
authors.lastname: Staahl
authors.forename: Anne E
authors.initials: AE
authors.lastname: Olesen
authors.forename: Lars
authors.initials: L
authors.lastname: Arendt-Nielsen
mesh_terms: D000293:Adolescent; D000328:Adult; D018592:Cross-Over Studies; D004311:Double-Blind Method; D004558:Electric Stimulation; D006801:Humans; D016014:Linear Models; D010146:Pain / Q000188:drug therapy*; D010147:Pain Measurement; D017288:Pain Threshold; D015203:Reproducibility of Results