title: Analysis and interpretation of results based on patient-reported outcomes.
abstract: This article is part of a series of manuscripts dealing with the incorporation of patient-reported outcomes (PROs) into clinical trials. The issues dealt with in this manuscript concern the common pitfalls to avoid in statistical analysis and interpretation of PROs. Specifically, the questions addressed by this manuscript involve the analysis pitfalls with PRO data in clinical trials and how can they be avoided (e.g.,missing data, multiplicity, null results etc.). The manuscript provides key literature for existing resources and proposes new guidelines.
authors.affiliation: Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905, USA. jsloan@mayo.edu
authors.forename: Jeff A
authors.initials: JA
authors.lastname: Sloan
authors.forename: Amylou C
authors.initials: AC
authors.lastname: Dueck
authors.forename: Pennifer A
authors.initials: PA
authors.lastname: Erickson
authors.forename: Harry
authors.initials: H
authors.lastname: Guess
authors.forename: Dennis A
authors.initials: DA
authors.lastname: Revicki
authors.forename: Nancy C
authors.initials: NC
authors.lastname: Santanello
mesh_terms: D002986:Clinical Trials as Topic / Q000706:statistics & numerical data*; D003627:Data Interpretation, Statistical; D004348:Drug Labeling / Q000592:standards* / Q000706:statistics & numerical data; D023381:Endpoint Determination; D006801:Humans; D017060:Patient Satisfaction / Q000706:statistics & numerical data*; D012680:Sensitivity and Specificity; D016896:Treatment Outcome