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(DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large
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analytics aligned with NPSC’s mission to democratize access to data and empower community-led, co-produced responses to public safety challenges. This position contributes to advancing an innovative, data
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(DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large
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(DL), and big data analytics. His lab is developing new modeling strategies that can integrate heterogeneous public data into model development. Another major research interest is the use of large
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EHR and administrative claims data. Leading statistical analysis (methods may include IPTW -weighted Cox regression, active comparator new-user designs, self-controlled case series, propensity scoring