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Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design
Regression discontinuity designs (RD designs) are used as a method for causal inference from observational data, where the decision to apply an intervention is made according to a ‘decision rule’ that is linked to some continuous variable. Such designs are being increasingly developed in medicine. T...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111792/ https://www.ncbi.nlm.nih.gov/pubmed/27867250 http://dx.doi.org/10.1111/sjos.12224 |
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author | O'Keeffe, Aidan G. Baio, Gianluca |
author_facet | O'Keeffe, Aidan G. Baio, Gianluca |
author_sort | O'Keeffe, Aidan G. |
collection | PubMed |
description | Regression discontinuity designs (RD designs) are used as a method for causal inference from observational data, where the decision to apply an intervention is made according to a ‘decision rule’ that is linked to some continuous variable. Such designs are being increasingly developed in medicine. The local average treatment effect (LATE) has been established as an estimator of the intervention effect in an RD design, particularly where a design's ‘decision rule’ is not adhered to strictly. Estimating the variance of the LATE is not necessarily straightforward. We consider three approaches to the estimation of the LATE: two‐stage least squares, likelihood‐based and a Bayesian approach. We compare these under a variety of simulated RD designs and a real example concerning the prescription of statins based on cardiovascular disease risk score. |
format | Online Article Text |
id | pubmed-5111792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-51117922016-11-16 Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design O'Keeffe, Aidan G. Baio, Gianluca Scand Stat Theory Appl Original Articles Regression discontinuity designs (RD designs) are used as a method for causal inference from observational data, where the decision to apply an intervention is made according to a ‘decision rule’ that is linked to some continuous variable. Such designs are being increasingly developed in medicine. The local average treatment effect (LATE) has been established as an estimator of the intervention effect in an RD design, particularly where a design's ‘decision rule’ is not adhered to strictly. Estimating the variance of the LATE is not necessarily straightforward. We consider three approaches to the estimation of the LATE: two‐stage least squares, likelihood‐based and a Bayesian approach. We compare these under a variety of simulated RD designs and a real example concerning the prescription of statins based on cardiovascular disease risk score. John Wiley and Sons Inc. 2016-03-22 2016-12 /pmc/articles/PMC5111792/ /pubmed/27867250 http://dx.doi.org/10.1111/sjos.12224 Text en © 2016 The Authors Scandinavian Journal of Statistics published by John Wiley & Sons Ltd on behalf of The Board of the Foundation of the Scandinavian Journal of Statistics This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles O'Keeffe, Aidan G. Baio, Gianluca Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title_full | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title_fullStr | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title_full_unstemmed | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title_short | Approaches to the Estimation of the Local Average Treatment Effect in a Regression Discontinuity Design |
title_sort | approaches to the estimation of the local average treatment effect in a regression discontinuity design |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5111792/ https://www.ncbi.nlm.nih.gov/pubmed/27867250 http://dx.doi.org/10.1111/sjos.12224 |
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