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

Innovative Methods in Public Health and Surveillance (340) Protocols for Public Health Research and Surveillance (71) Outbreak and Pandemic Preparedness and Management (1747) Infectious Diseases (non-STD/STI) (1601) Development and Evaluation of Research Methods, Instruments and Tools (525) Involvement of Pediatric Populations in Health and Health Services Research (20) Methodological Innovations (27) Methods in Human Factors Research (46) Surveillance Methods in Population and Public Health (115)

Published on in Vol 11 (2025)

This is a member publication of JISC

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60022, first published .
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

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 Tweetations Metrics

There are no citations yet available for this article according to Crossref .