Estimation of marginal structural models under irregular visits and unmeasured confounder: calibrated inverse probability weights

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• who: Sumeet Kalia from the Application: emulating randomized experiment using EHRs Electronic health records (EHRs) can serve as a complete lifetime record of a patient`s longitudinal health trajectory, and they can be collected from different sources including hospitals, specialist clinics, primary care providers, pharmacies, and laboratoriesUniversity of Toronto practice based research network (UTOPIAN) collects de-identified patient-level medical information from EHRs of primary care practices across the Greater Toronto region [30, ]. The EHRs in UTOPIAN database contains patient-level demographics, medical diagnosis, procedures, medications, immunization, laboratory test results, vital signs and risk factors. Even though . . .
  

   

  

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