The Potential of High-Dimensional Propensity Scores in Health Services Research: An Exemplary Study on the Quality of Care for Elective Percutaneous Coronary Interventions

Health Services Research

Volumn 53, Issue 1, 2018, Pages 197-213

  Enders, Dirk ^a   Ohlmeier, Christoph ^a,c   Garbe, Edeltraut ^a,b  

^a LEIBNIZ INSTITUTE FOR PREVENTION RESEARCH AND EPIDEMIOLOGY BIPS   (Germany)

^b UNIVERSITY OF BREMEN   (Germany)

^c IGES Institut GmbH   (Germany)

Author keywords

administrative data; Residual confounding; unmeasured confounding

Indexed keywords

CLINICAL STUDY; COHORT ANALYSIS; COMORBIDITY; CONTROLLED STUDY; DATA BASE; HEALTH SERVICES RESEARCH; HOSPITAL PATIENT; HUMAN; MORTALITY RISK; OUTPATIENT; PERCUTANEOUS CORONARY INTERVENTION; PROPENSITY SCORE; PROPORTIONAL HAZARDS MODEL; STUDY DESIGN; AGE; ELECTIVE SURGERY; EPIDEMIOLOGY; GERMANY; HEALTH CARE QUALITY; INSURANCE; PROCEDURES; RETROSPECTIVE STUDY; SEX FACTOR; STANDARDS; STATISTICS AND NUMERICAL DATA;

AGE FACTORS; CONFOUNDING FACTORS (EPIDEMIOLOGY); ELECTIVE SURGICAL PROCEDURES; GERMANY; HEALTH SERVICES RESEARCH; HUMANS; INPATIENTS; INSURANCE CLAIM REVIEW; OUTPATIENTS; PERCUTANEOUS CORONARY INTERVENTION; PROPENSITY SCORE; PROPORTIONAL HAZARDS MODELS; QUALITY OF HEALTH CARE; RETROSPECTIVE STUDIES; SEX FACTORS;

EID: 85010645220     PISSN: 00179124     EISSN: 14756773     Source Type: Journal    
DOI: 10.1111/1475-6773.12653     Document Type: Article

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