Marginal structural models for skewed outcomes: Identifying causal relationships in health care utilization

Statistics in Medicine

Volumn 33, Issue 7, 2014, Pages 1205-1221

  Héroux, Julie ^a   Moodie, Erica E M ^a   Strumpf, Erin ^a,b   Coyle, Natalie ^a   Tousignant, Pierre ^a,b,c   Diop, Mamadou ^b  

^a MCGILL UNIVERSITY   (Canada)

^b Gouvernement du Quebec   (Canada)

^c INSTITUT NATIONAL DE SANTÉ PUBLIQUE DU QUÉBEC   (Canada)

Author keywords

Causal inference; Generalized linear models; Health care utilization; Marginal structural models; Over dispersion; Primary care reform

Indexed keywords

ARTICLE; CANADA; EMERGENCY WARD; FAMILY MEDICINE; HEALTH CARE UTILIZATION; HOSPITALIZATION; HUMAN; MARGINAL STRUCTURAL MODEL; PRIMARY MEDICAL CARE; PROPENSITY SCORE; STATISTICAL ANALYSIS; STATISTICAL MODEL;

CAUSAL INFERENCE; GENERALIZED LINEAR MODELS; HEALTH CARE UTILIZATION; MARGINAL STRUCTURAL MODELS; OVER-DISPERSION; PRIMARY CARE REFORM;

AGED; AGED, 80 AND OVER; COMPUTER SIMULATION; EMERGENCY SERVICE, HOSPITAL; HOSPITALIZATION; HUMANS; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MALE; PRIMARY HEALTH CARE; PROPENSITY SCORE; QUEBEC;

EID: 84896699314     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6020     Document Type: Article

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