Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1966
Title: Sensitivity analysis in multiple imputation in effectiveness studies of psychotherapy
Authors : Crameri, Aureliano
von Wyl, Agnes
Koemeda, Margit
Schulthess, Peter
Tschuschke, Volker
Published in : Frontiers in Psychiatry
Volume(Issue) : 6
Publisher / Ed. Institution : Frontiers Research Foundation
Issue Date: 27-Jul-2015
License (according to publishing contract) : CC BY 4.0: Namensnennung 4.0 International
Type of review: Peer review (Publication)
Language : English
Subject (DDC) : 616.89: Mental disorders, clinical psychology and psychiatry
Abstract: The importance of preventing and treating incomplete data in effectiveness studies is nowadays emphasized. However, most of the publications focus on randomized clinical trials (RCT). One flexible technique for statistical inference with missing data is multiple imputation (MI). Since methods such as MI rely on the assumption of missing data being at random (MAR), a sensitivity analysis for testing the robustness against departures from this assumption is required. In this paper we present a sensitivity analysis technique based on posterior predictive checking, which takes into consideration the concept of clinical significance used in the evaluation of intra-individual changes. We demonstrate the possibilities this technique can offer with the example of irregular longitudinal data collected with the Outcome Questionnaire-45 (OQ-45) and the Helping Alliance Questionnaire (HAQ) in a sample of 260 outpatients. The sensitivity analysis can be used to (1) quantify the degree of bias introduced by missing not at random data (MNAR) in a worst reasonable case scenario, (2) compare the performance of different analysis methods for dealing with missing data, or (3) detect the influence of possible violations to the model assumptions (e.g., lack of normality). Moreover, our analysis showed that ratings from the patient’s and therapist’s version of the HAQ could significantly improve the predictive value of the routine outcome monitoring based on the OQ-45. Since analysis dropouts always occur, repeated measurements with the OQ-45 and the HAQ analyzed with MI are useful to improve the accuracy of outcome estimates in quality assurance assessments and non-randomized effectiveness studies in the field of outpatient psychotherapy.
Departement: Angewandte Psychologie
Organisational Unit: Psychological Institute (PI)
Publication type: Article in scientific Journal
DOI : 10.3389/fpsyg.2015.01042
10.21256/zhaw-1966
ISSN: 1664-0640
URI: https://digitalcollection.zhaw.ch/handle/11475/5584
Appears in Collections:Publikationen Angewandte Psychologie

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