Developing Methods for Estimating Effects of More Than Two Treatment Options

  • Funded by Patient-Centered Outcomes Research Institute
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19
  • Known Financial Commitments (USD)

    $203,532
  • Funder

    Patient-Centered Outcomes Research Institute
  • Principal Investigator

    PhD. Liangyuan Hu
  • Research Location

    United States of America
  • Lead Research Institution

    Icahn School of Medicine at Mount Sinai
  • Research Priority Alignment

    N/A
  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Supportive care, processes of care and management

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

In this enhancement to this study, the research team will adapt the flexible Bayesian methods developed in the original award for causal inference with multiple treatments and survival outcome and evaluate the effectiveness of several treatment strategies and the timing and duration of these therapies. The team will also develop a data-driven strategy for estimating heterogeneity of treatment effect (HTE) and examine HTE of COVID-19 treatment in vulnerable subpopulations.