View the latest COVID-19 operational updates | Learn more

Main navigationMain content
University of Minnesota
http://twin-cities.umn.edu/
612-625-5000
Go to the U of M home page
  • One Stop
  • MyU

School of Public Health

MENUMENU
  • About
        • About
          • School at a Glance
          • History
          • Mission & Values
          • Accreditation
          • School Data
          • Documentary: Our Invisible Guardians
          • Brand
        • Leadership
          • Leadership Team
          • Interim Dean Timothy Beebe
        • Diversity & Inclusion
          • About
          • Agents for Change
          • Training & Development
          • Events
          • Resources
          • Strategic Plan for Antiracism
          • Podcast
          • Report an Incident
        • Offices and Services
          • Communications
          • Development & Alumni Relations
          • Diversity & Inclusion
          • E-Learning Services
          • Faculty Affairs
          • Finance
          • Human Resources
          • Student Services
        • Strategic Priorities
          • COVID-19
          • SPH2030
        • Faculty Directory
        • Contact Us
  • Academics
        • Degrees & Programs
          • Master of Public Health (MPH)
          • Master of Healthcare Administration (MHA)
          • Master of Science (MS)
          • Doctor of Philosophy (PhD)
          • Executive & Distance Degrees
          • Dual Degrees
          • Minors
          • 4+1 Environmental Health MPH
          • India Programs
          • Certificates
        • Academic Divisions
          • Biostatistics
          • Environmental Health Sciences
          • Epidemiology & Community Health
          • Health Policy & Management
        • Institutes
          • 2022 Summer Public Health Institute
          • Rothenberger Institute
        • E-Learning and Academic Technology
          • Online Course Development
          • Guides and Trainings
          • In-Person Courses
          • Instructor Support
          • Quick Help
          • Meet the Team
        • Syllabi
        • Workforce Development
        • Non-degree Seeking Students
  • Prospective Students
        • Application Process
          • Apply
          • Application Deadlines
          • Application Review Process
          • International Applicants
          • Equal Opportunity, Access & Privacy
          • Certificate Applicants
          • Declaring a Minor
        • Tuition & Finances
          • Cost of Living in Minnesota
          • Paying for your Education
          • Scholarships & Funding
          • Financial Aid, Loans & Grants
          • Employment Opportunities
        • Degrees & Programs
        • Careers
          • Students
          • Employers
          • Alumni
          • Events
          • About
        • Recently Admitted Students
          • Virtual Admitted Student Days
          • Confirm Your Enrollment
        • What is Public Health?
        • The Minnesota Advantage
        • Living in Minnesota
        • Visit Us
        • Students of SPH
  • Current Students
        • Student Resources
          • Syllabi
          • Guidebooks
          • School and University Resources
          • Student Policies
          • SPHere Lounge
        • Careers
          • Students
          • Employers
          • Alumni
          • Events
          • Job Postings
          • About Us
        • Student Engagement Opportunities
          • Student Senate
          • Student Ambassadors
          • MHA Community Stewardship Initiative
        • Field Experience
        • MPH students enrolled prior to 2018
        • Applied Practice
        • MPH students enrolled 2018 or later
        • Mentor Program
        • Minors
        • Students of SPH
        • Orientation 2022
        • Commencement
        • Incoming Student Requirements
  • Alumni
    • Connect
    • Career Resources
    • Awards & Honors
    • SPH Alumni Society
    • MHA Alumni Association
    • SPH Mentor Program
    • Profiles
  • Research
    • Research
    • Projects and Research Studies
    • Find An Expert
    • Centers
    • Faculty Directory
    • Health Equity Work Group
    • Global Health Work Group
    • Aging Work Group
  • News
    • News Home
    • Health In All Matters Podcast
    • Advances Magazine
  • Events
  • Give
  1. Home
  2. Events
  3. Division of Biostatistics Seminar with Abhi Datta
Loading Events

« All Events

  • This event has passed.

Division of Biostatistics Seminar with Abhi Datta

September 15, 2021
3:30 pm
- 4:30 pm CDT

Event Navigation

  • « SPH Mentor Program: Info Session
  • EpiCH Seminar Series – Collaborative community engagement ideas for research and teaching, Part I »

Abhi Datta, of the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health, will present:

“Mortality Estimation Using Predicted Cause-of-Death Data from Verbal Autopsies”

Abstract: In many low-and-middle-income countries (LMICS), verbal autopsy (VA) – a systematic interview of the household members of the deceased about the health history and symptoms of the deceased member, is the primary source of mortality data. Computer-coded verbal autopsy (CCVA) are automated algorithms (classifiers) that predict a cause of death (COD) from the high-dimensional reported symptom data from VA. These predicted COD are then aggregated to generate national and regional estimates of cause-specific mortality fractions (CSMF) – the proportion of individuals dying of a given cause.

Treating predicted COD data from CCVA classifiers as raw data is perilous as it ignores the imperfections in the classifiers used to predict COD. Prevalence estimation using predicted data from a classifier is known as Quantification learning. Current quantification methods assume that the sensitivities and specificities of the classifier are either perfect or transportable from the training to the test population. Either assumption is inappropriate under dataset shift, when the misclassification rates are different in the training and test populations.

We first present a parsimonious generalized Bayes approach to quantification learning (GBQL) under dataset shift using a small local labeled data from the test population. The approach is distribution-free, allows both single-category or probabilistic (compositional) predictions from classifiers, accommodates inputs from multiple classifiers weighting them by their accuracy, and is amenable to use of shrinkage priors that stabilize estimation in data-scarce settings. We establish asymptotic and finite sample guarantees of the method. Empirical performance of GBQL is demonstrated through simulations. GBQL is used to calibrate estimates of cause specific mortality rates from verbal autopsies in datasets with evident dataset shift.

All are Welcome.

Register for the Event
+ Google Calendar+ iCal Export

Details

Date:
September 15, 2021
Time:
3:30 pm - 4:30 pm

Venue

Virtual
United States

Other

Event sponsor(s)
Division of Biostatistics
For disability accommodations contact
612-624-4655

Event Navigation

  • « SPH Mentor Program: Info Session
  • EpiCH Seminar Series – Collaborative community engagement ideas for research and teaching, Part I »
  • About
  • Academics
  • Prospective Students
  • Current Students
  • Alumni
  • Research
  • News
  • Events
  • Give

University of Minnesota School of Public Health

Contact
420 Delaware St. S.E.
Minneapolis, MN 55455

612-626-3500
sph-ask@umn.edu

Submit
News & Events
Web Updates
Research
Faculty Directory Updates
Course Syllabi Updates

SPH Intranet for Faculty and Staff | Academic Health Center

For Students, Faculty, and Staff

  • One Stop
  • My U
© 2015 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement