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The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects.

Identifieur interne : 000051 ( PubMed/Corpus ); précédent : 000050; suivant : 000052

The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects.

Auteurs : Iris L. Maas ; Sandra Nolte ; Otto B. Walter ; Thomas Berger ; Martin Hautzinger ; Fritz Hohagen ; Wolfgang Lutz ; Björn Meyer ; Johanna Schröder ; Christina Sp Th ; Jan Philipp Klein ; Steffen Moritz ; Matthias Rose

Source :

RBID : pubmed:27865902

Abstract

To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).

DOI: 10.1016/j.jclinepi.2016.11.008
PubMed: 27865902

Links to Exploration step

pubmed:27865902

Le document en format XML

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<nlm:affiliation>GAIA AG, Gertigstrasse 12-14, Hamburg 22303, Germany; Department of Psychology, City University London, Northampton Square, London EC1V 0HB, UK.</nlm:affiliation>
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<name sortKey="Moritz, Steffen" sort="Moritz, Steffen" uniqKey="Moritz S" first="Steffen" last="Moritz">Steffen Moritz</name>
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<nlm:affiliation>Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, Hamburg 20246, Germany.</nlm:affiliation>
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<name sortKey="Rose, Matthias" sort="Rose, Matthias" uniqKey="Rose M" first="Matthias" last="Rose">Matthias Rose</name>
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<nlm:affiliation>Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Outcomes Measurement Science, Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA. Electronic address: matthias.rose@charite.de.</nlm:affiliation>
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<title level="j">Journal of clinical epidemiology</title>
<idno type="eISSN">1878-5921</idno>
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<div type="abstract" xml:lang="en">To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).</div>
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<Month>11</Month>
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<Day>29</Day>
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<Month>Nov</Month>
<Day>16</Day>
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<ISOAbbreviation>J Clin Epidemiol</ISOAbbreviation>
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<ArticleTitle>The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects.</ArticleTitle>
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<AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).</AbstractText>
<AbstractText Label="STUDY DESIGN AND SETTING" NlmCategory="METHODS">Data from an RCT (EVIDENT), which studied the effect of an Internet intervention on depressive symptoms measured with the Patient Health Questionnaire (PHQ-9), were used to perform an RD analysis, in which treatment allocation was determined by a cutoff value at baseline (PHQ-9 = 10). A linear regression model was fitted to the data, selecting participants above the cutoff who had received the intervention (n = 317) and control participants below the cutoff (n = 187). Outcome was PHQ-9 sum score 12 weeks after baseline. Robustness of the effect estimate was studied; the estimate was compared with the RCT treatment effect.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">The final regression model showed a regression coefficient of -2.29 [95% confidence interval (CI): -3.72 to -.85] compared with a treatment effect found in the RCT of -1.57 (95% CI: -2.07 to -1.07).</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Although the estimates obtained from two designs are not equal, their confidence intervals overlap, suggesting that an RD design can be a valid alternative for RCTs. This finding is particularly important for situations where an RCT may not be feasible or ethical as is often the case in clinical research settings.</AbstractText>
<CopyrightInformation>Copyright © 2016 Elsevier Inc. All rights reserved.</CopyrightInformation>
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<LastName>Maas</LastName>
<ForeName>Iris L</ForeName>
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<Affiliation>Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Population Health Strategic Research Centre, School of Health and Social Development, Deakin University, 221 Burwood Highway, Burwood, Victoria 3125, Australia.</Affiliation>
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<Affiliation>Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany.</Affiliation>
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</AffiliationInfo>
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<LastName>Rose</LastName>
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<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany; Outcomes Measurement Science, Department of Quantitative Health Sciences, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA 01655, USA. Electronic address: matthias.rose@charite.de.</Affiliation>
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