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Regression discontinuity designs: an approach to the evaluation of treatment efficacy in primary care using observational data.

O'Keeffe, AG; Geneletti, S; Baio, G; Sharples, LD; Nazareth, I; Petersen, I; (2014) Regression discontinuity designs: an approach to the evaluation of treatment efficacy in primary care using observational data. BMJ , 349 , Article g5293. 10.1136/bmj.g5293. Green open access

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Type: Article
Title: Regression discontinuity designs: an approach to the evaluation of treatment efficacy in primary care using observational data.
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1136/bmj.g5293
Publisher version: http://dx.doi.org/10.1136/bmj.g5293
Language: English
Additional information: For articles not published with open access, The BMJ's publication licence allows each author to post their article's URL (provided above) on either their own or their employer's website, thereby giving users free access to the full text of the article on bmj.com. Authors will need to use the toll free link to ensure visitors have free access to the article. Alternatively, authors can post the full text of their published article on their own website or their employer's website.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science
URI: https://discovery.ucl.ac.uk/id/eprint/1447678
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