Measuring and tracking health disparities among various subgroups in the population may be useful in assessing a nation's health. Such ability to track crucially depends upon suitable data measuring various diseases and outcomes. This talk will focus on three measures of quantifying health disparity and multiple data sources with different measurement and response properties to track race/ethnic disparity in diabetes over a ten year period. Treating one of these data sources as preferred, methods to calibrate other data sources to reduce bias and improve statistical efficiency will be explored. Join Zoom Meeting https://umich.zoom.us/j/97224997529?pwd=KzBNM0taWHkrT2V1MmFRUzB6UitnZz09 Meeting ID: 972 2499 7529
Biostatistics DepartmenT DEI COmitteeTracking Health Disparities Using Multiple Data Sources with varying Measurement and Response Properties
Dr. Trivellore Raghunathan (Raghu), Professor of Biostatistics, University of Michigan
December 3, 2021
2:00 pm - 3:00 pm
Online in Zoom
Sponsored by: Biostatistics DepartmenT DEI COmittee
Contact Information: Xu Shi, shixu@umich.edu
Measuring and tracking health disparities among various subgroups in the population may be useful in assessing a nation's health. Such ability to track crucially depends upon suitable data measuring various diseases and outcomes. This talk will focus on three measures of quantifying health disparity and multiple data sources with different measurement and response properties to track race/ethnic disparity in diabetes over a ten year period. Treating one of these data sources as preferred, methods to calibrate other data sources to reduce bias and improve statistical efficiency will be explored. Join Zoom Meeting https://umich.zoom.us/j/97224997529?pwd=KzBNM0taWHkrT2V1MmFRUzB6UitnZz09 Meeting ID: 972 2499 7529