Accessibility settings

This paper is in the following e-collection/theme issue:

Innovative Methods in Public Health and Surveillance (415) Methods in Human Factors Research (77) Protocols for Public Health Research and Surveillance (139) Methodological Innovations (47) Infectious Diseases (non-STD/STI) (1770) Development and Evaluation of Research Methods, Instruments and Tools (854) Outbreak and Pandemic Preparedness and Management (1856) Involvement of Pediatric Populations in Health and Health Services Research (35) Surveillance Methods in Population and Public Health (128)

Published on in Vol 11 (2025)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60022, first published .
Doctor in mask checks clipboard as masked people wait in line outdoors.

Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study

Strategies to Increase Response Rate and Reduce Nonresponse Bias in Population Health Research: Analysis of a Series of Randomized Controlled Experiments during a Large COVID-19 Study

Authors of this article:

Christina J Atchison1 Author Orcid Image ;   Nicholas Gilby2 Author Orcid Image ;   Galini Pantelidou2 Author Orcid Image ;   Sam Clemens2 Author Orcid Image ;   Kevin Pickering2 Author Orcid Image ;   Marc Chadeau-Hyam1 Author Orcid Image ;   Deborah Ashby1 Author Orcid Image ;   Wendy S Barclay3 Author Orcid Image ;   Graham S Cooke3 Author Orcid Image ;   Ara Darzi4 Author Orcid Image ;   Steven Riley1 Author Orcid Image ;   Christl A Donnelly1, 5 Author Orcid Image ;   Helen Ward1 Author Orcid Image ;   Paul Elliott1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.