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

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

Regression discontinuity designs use observational data to examine treatment efficacy. This article uses the example of statin prescription in primary care to explain the concept of the method and how it can be used

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Bibliographische Detailangaben
Veröffentlicht in:BMJ (Online) 2014-09, Vol.349 (sep08 3), p.g5293-g5293
Hauptverfasser: O’Keeffe, Aidan G, Geneletti, Sara, Baio, Gianluca, Sharples, Linda D, Nazareth, Irwin, Petersen, Irene
Format: Artikel
Sprache:eng
Schlagworte:
Blood pressure
Cardiovascular disease
Cardiovascular Diseases - blood
Cardiovascular Diseases - prevention & control
Cholesterol
Cholesterol, LDL - blood
Design
Humans
Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use
Low density lipoprotein
Models, Statistical
Observational studies
Observational Studies as Topic
Practice Guidelines as Topic
Primary care
Primary Health Care
Regression Analysis
RESEARCH METHODS & REPORTING
Risk Assessment
Statins
Treatment Outcome
United Kingdom
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Beschreibung
Zusammenfassung:Regression discontinuity designs use observational data to examine treatment efficacy. This article uses the example of statin prescription in primary care to explain the concept of the method and how it can be used
ISSN:0959-8138
1756-1833
1756-1833
DOI:10.1136/bmj.g5293