Ontology highlight
ABSTRACT: Objective
Evaluating the potential of the high-dimensional propensity score (HDPS) to control for residual confounding in studies analyzing quality of care based on administrative health insurance data.Data source
Secondary data from 2004 to 2009 from three German statutory health insurance providers.Study design
We conducted a retrospective cohort study in patients with elective percutaneous coronary interventions (PCIs) and compared the mortality risk between the in- and outpatient setting using Cox regression. Adjustment for predefined confounders was performed using conventional propensity score (PS) techniques. Further, an HDPS was calculated based on predefined and empirically selected confounders from the database.Principal findings
Conventional PS me
SUBMITTER: Enders D
PROVIDER: S-EPMC5785328 | biostudies-literature | 2018 Feb
REPOSITORIES: biostudies-literature