CSSS Seminar: Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health
Posted: 5/28/2023 ()
Please join the Center for Statistics and the Social Sciences for their final speaker. On Wednesday, May 31st at 12:30 pm, Abhi Datta, Associate Professor in the Department of Biostatistics at Johns Hopkins Bloomberg School of Public Health will give a seminar titled, “Correcting for misclassification bias in cause-specific mortality estimates”
This seminar will be offered as a hybrid session. Below please find the abstract and information about joining in-person or on Zoom.
Abstract:
Verbal autopsies (VA) are extensively used to determine cause-of-death (COD) in many low and middle income countries. However, COD determination from VA can be inaccurate. Computer-coded-verbal-autopsy (CCVA) algorithms used for this task are imperfect and misclassify COD for a large proportion of deaths. If not accounted for, this misclassification leads to biased estimates of cause-specific mortality fractions (CSMF), a critical piece in health-policy making. We discuss how to estimate and use CCVA misclassification rates to calibrate raw VA-based CSMF estimates to account for the misclassification bias in Bayesian hierarchical model. We review the current practices and issues with raw COD predictions from CCVA algorithms and provide a complete primer on how to use the VA calibration approach with the calibratedVA software to correct for verbal autopsy misclassification bias in cause-specific mortality estimates. We use calibratedVA to obtain CSMF for child (1-59 months) and neonatal deaths using VA data from the Countrywide Mortality Surveillance for Action Mozambique (COMSA) project in Mozambique.
This seminar will be located at 409 Savery Hall
To join by Zoom, please use the information below.
Join Zoom Meeting
https://washington.zoom.us/j/91889204671
Date: 05/31/2023
Time: 1230PM
Location: 409 Savery Hall