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PennCIL Lab – Improving Human Health by Prime Insights From Data PennCIL Lab – Improving Human Health by Prime Insights From Data
  • Home
    • Contact
  • Team
    • Alumni
    • Visiting Scholar
    • Photos
  • About Director
    • teaching
  • Research
  • Publications
  • News
  • Software

Funding

  • A general framework to account for outcome reporting bias in systematic reviews
    • 09/08/2017 – 08/31/2021
    • Principal Investigator: Yong Chen, Ph.D.
    • Funding Agency: NLM (1R01LM012607)

 

  • Dynamic learning for post-vaccine event prediction using temporal information in VAERS
    • 02/01/2017 – 01/31/2022
    • Principal Investigators: Cui Tao, Ph.D. (Contact PI); Yong Chen, Ph.D. (MPI)
    • Funding Agency: NIAID (1R01AI130460)

 

  • A two-stage meta-regression framework for precision medicine using data from clinical data research
    • 01/01/2020 – 01/31/2023
    • Principal Investigators: Yong Chen, Ph.D. (Contact PI); Jing Huang, Ph.D. (MPI)
    • Funding Agency: PCORI (ME-2018C3-14899)

Contact:

Department of Biostatistics, Epidemiology and Informatics

Perelman School of Medicine
University of Pennsylvania
602 Blockley Hall, 423 Guardian Drive
Philadelphia, PA 19104-6021 USA
Email: ychen123@upenn.edu
Phone: (215)-746-8155
Twitter: @PennCIL_lab

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