Women in Data Science (WiDS)
  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conference
    • Regional Conferences 2022
    • WiDS 2022 Videos
    • Schedule 2022 >
      • In-person Schedule 2022
      • Online Schedule 2022
    • Speakers 2022
    • Ambassadors 2022
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Excellence in Research Award 2022
    • Datathon Resources
    • WiDS Datathon Workshops 2022
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Secondary Schools >
      • Secondary School Resources
      • Education Outreach Committee
      • Education Outreach Student Advisors

Yingjie (Isabel) Weng

Senior Biostatistician
Stanford University, School of Medicine
Picture
As a senior biostatistician at Quantitative Sciences Units under Stanford School of Medicine, I specialized in collaborating with clinical researchers under variety of specialties, to design, implement and disseminate clinical researches using real-world data. I’ve been working extensive with a variety of sources of real-world databases, such as Electronic Health Records (EHRs), claims data including Medicare-HRS, HCUP, Optum/MacketScan and registry databases, to address the cutting-edge research questions for health policy, hospital quality improvement and public health. In the meantime, I've been also actively collaborated with clinical researchers from a variety of clinical domains on clinical trials. My scope of work for clinical trials includes implementing study design, data management plan, statistical analysis plan, DSMB and submitting regulatory statistical documents to FDA. My specific statistical interest includes interrupted time series, multi-level modeling, missing data techniques and causal inference.
Watch Workshop

Back to ​Workshop Instructors

Initiatives

Conference
Ambassador Program
Datathon
Podcast
Workshops for Everyone
Outreach for Secondary Schools

Follow Us

LinkedIn
Twitter
Facebook
Instagram
YouTube
​Blog

connect

LinkedIn Group
Facebook Group
subscribe
donate

© 2022 Women in data science. Women in Data Science is a Registered trademark of Stanford University. 

  • Home
  • About
    • Blog
    • WiDStory
    • News
    • Sponsors
    • Collaborators
    • Contact
    • Donate
  • Conference
    • Regional Conferences 2022
    • WiDS 2022 Videos
    • Schedule 2022 >
      • In-person Schedule 2022
      • Online Schedule 2022
    • Speakers 2022
    • Ambassadors 2022
    • WiDS Ambassador Program
    • Past Conferences >
      • WiDS 2021
      • WiDS 2020
      • WiDS 2019
      • WiDS 2018
      • WiDS 2017
      • WiDS 2015
    • Conference Committee
  • Datathon
    • Excellence in Research Award 2022
    • Datathon Resources
    • WiDS Datathon Workshops 2022
    • Datathon News
    • Datathon Collaborators
    • Datathon Committee
  • Podcast
    • Podcast Committee
  • Education
    • Workshops >
      • Workshop Instructors
      • Workhop Committee
    • Secondary Schools >
      • Secondary School Resources
      • Education Outreach Committee
      • Education Outreach Student Advisors