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

Standard

The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects. / Maas, Iris L; Nolte, Sandra; Walter, Otto B; Berger, Thomas; Hautzinger, Martin; Hohagen, Fritz; Lutz, Wolfgang; Meyer, Björn; Schröder, Johanna; Späth, Christina; Klein, Jan Philipp; Moritz, Steffen; Rose, Matthias.

in: J CLIN EPIDEMIOL, Jahrgang 82, 02.2017, S. 94-102.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Maas, IL, Nolte, S, Walter, OB, Berger, T, Hautzinger, M, Hohagen, F, Lutz, W, Meyer, B, Schröder, J, Späth, C, Klein, JP, Moritz, S & Rose, M 2017, 'The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects', J CLIN EPIDEMIOL, Jg. 82, S. 94-102. https://doi.org/10.1016/j.jclinepi.2016.11.008

APA

Maas, I. L., Nolte, S., Walter, O. B., Berger, T., Hautzinger, M., Hohagen, F., Lutz, W., Meyer, B., Schröder, J., Späth, C., Klein, J. P., Moritz, S., & Rose, M. (2017). The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects. J CLIN EPIDEMIOL, 82, 94-102. https://doi.org/10.1016/j.jclinepi.2016.11.008

Vancouver

Maas IL, Nolte S, Walter OB, Berger T, Hautzinger M, Hohagen F et al. The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects. J CLIN EPIDEMIOL. 2017 Feb;82:94-102. https://doi.org/10.1016/j.jclinepi.2016.11.008

Bibtex

@article{d0e5f0902ff74830b1064db4d8cd9adc,
title = "The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects",
abstract = "OBJECTIVES: To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).STUDY DESIGN AND SETTING: 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.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).CONCLUSION: 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.",
keywords = "Adult, Depressive Disorder, Epidemiologic Research Design, Female, Humans, Male, Middle Aged, Psychotherapy, Randomized Controlled Trials as Topic, Regression Analysis, Remote Consultation, Reproducibility of Results, Treatment Outcome, Journal Article",
author = "Maas, {Iris L} and Sandra Nolte and Walter, {Otto B} and Thomas Berger and Martin Hautzinger and Fritz Hohagen and Wolfgang Lutz and Bj{\"o}rn Meyer and Johanna Schr{\"o}der and Christina Sp{\"a}th and Klein, {Jan Philipp} and Steffen Moritz and Matthias Rose",
note = "Copyright {\textcopyright} 2016 Elsevier Inc. All rights reserved.",
year = "2017",
month = feb,
doi = "10.1016/j.jclinepi.2016.11.008",
language = "English",
volume = "82",
pages = "94--102",
journal = "J CLIN EPIDEMIOL",
issn = "0895-4356",
publisher = "Elsevier USA",

}

RIS

TY - JOUR

T1 - The regression discontinuity design showed to be a valid alternative to a randomized controlled trial for estimating treatment effects

AU - Maas, Iris L

AU - Nolte, Sandra

AU - Walter, Otto B

AU - Berger, Thomas

AU - Hautzinger, Martin

AU - Hohagen, Fritz

AU - Lutz, Wolfgang

AU - Meyer, Björn

AU - Schröder, Johanna

AU - Späth, Christina

AU - Klein, Jan Philipp

AU - Moritz, Steffen

AU - Rose, Matthias

N1 - Copyright © 2016 Elsevier Inc. All rights reserved.

PY - 2017/2

Y1 - 2017/2

N2 - OBJECTIVES: To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).STUDY DESIGN AND SETTING: 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.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).CONCLUSION: 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.

AB - OBJECTIVES: To compare treatment effect estimates obtained from a regression discontinuity (RD) design with results from an actual randomized controlled trial (RCT).STUDY DESIGN AND SETTING: 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.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).CONCLUSION: 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.

KW - Adult

KW - Depressive Disorder

KW - Epidemiologic Research Design

KW - Female

KW - Humans

KW - Male

KW - Middle Aged

KW - Psychotherapy

KW - Randomized Controlled Trials as Topic

KW - Regression Analysis

KW - Remote Consultation

KW - Reproducibility of Results

KW - Treatment Outcome

KW - Journal Article

U2 - 10.1016/j.jclinepi.2016.11.008

DO - 10.1016/j.jclinepi.2016.11.008

M3 - SCORING: Journal article

C2 - 27865902

VL - 82

SP - 94

EP - 102

JO - J CLIN EPIDEMIOL

JF - J CLIN EPIDEMIOL

SN - 0895-4356

ER -