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Using Stata to simulate the impact of COVID-19 on organ transplantation

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  • Dorry Segev

    (Johns Hopkins University)

  • Allan Massie

    (Johns Hopkins University)

Abstract

We present a case study demonstrating how the Epidemiologic Research Group in Organ Transplantation (ERGOT) at Johns Hopkins uses Stata to further the group's research goals. Recent applications include simulation to estimate the benefit or harm of delaying organ transplantation in the context of the COVID-19 pandemic and modular code design to facilitate rapid analysis of changes in the landscape of organ transplantation under COVID-19 across different organ types. We will discuss techniques for simulation and integration of putdocx and frames to rapidly produce manuscript-ready output. Additionally we will provide an overview of the Stata class we teach at the Johns Hopkins School of Public Health and discuss the songs about Stata we have written to promote the class.

Suggested Citation

  • Dorry Segev & Allan Massie, 2020. "Using Stata to simulate the impact of COVID-19 on organ transplantation," 2020 Stata Conference 19, Stata Users Group.
    • Handle: RePEc:boc:scon20:19
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