Regression discontinuity designs are underutilized in medicine, epidemiology, and public health: A review of current and best practice

Journal of Clinical Epidemiology

Volumn 68, Issue 2, 2015, Pages 132-143

  Moscoe, Ellen ^a   Bor, Jacob ^b,c   Bärnighausen, Till ^a,c  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

^c UNIVERSITY OF KWAZULU NATAL   (South Africa)

Author keywords

Causal inference; Confounding; Natural experiments; Observational studies; Quasi experimental methods; Regression discontinuity; Systematic review

Indexed keywords

ALGORITHM; CAUSAL ATTRIBUTION; CLINICAL PRACTICE; DECISION MAKING; EFFECT SIZE; FUZZY LOGIC; HEALTH CARE POLICY; HISTOGRAM; HUMAN; INSTRUMENTAL VARIABLE ANALYSIS; LINEAR REGRESSION ANALYSIS; MEDICAL LITERATURE; MEDICAL PRACTICE; MENTAL HEALTH; OUTCOME ASSESSMENT; PRACTICE GUIDELINE; PRIORITY JOURNAL; QUASI EXPERIMENTAL STUDY; REGRESSION DISCONTINUITY DESIGN; REVIEW; STUDY DESIGN; SYSTEMATIC REVIEW; VALIDITY; MEDICINE; METHODOLOGY; PATIENT SELECTION; PUBLIC HEALTH; REGRESSION ANALYSIS; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); HUMANS; MEDICINE; PATIENT SELECTION; PHYSICIAN'S PRACTICE PATTERNS; PUBLIC HEALTH; REGRESSION ANALYSIS; RESEARCH DESIGN;

EID: 84920626516     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2014.06.021     Document Type: Review

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