Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 13 - Nonignorable Nonresponse in Public Health

  • from Part IV - Applications
  • Michael A. Bailey, Georgetown University, Washington DC
  • Book:
    Polling at a Crossroads
    Published online:
    29 February 2024
    Print publication:
    07 March 2024, pp 235-251

  • Summary

    Nonresponse is a challenge in many fields, including demography, economics, public health, sociology, and business. This chapter explores nonpolitical manifestations of nonignorable nonresponse by focusing on population health. For many conditions, the decision to get tested or the willingness to allow a test is deeply wrapped up in the likelihood of having the condition. During Covid, for example, people who thought they might have been exposed to the virus were almost certainly more likely to get tested meaning that nonignorable nonresponse complicated our ability to understand the Covid outbreak. Section 13.1 discusses the challenge of estimating public health variables in terms of a nonignorable missing data problem. Section 13.2 explores how first-stage instruments can improve the efficiency and accuracy of efforts to assess prevalence. Section 13.3 presents a framework for comparing Covid positivity rates across regions even when testing rates differ.