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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 .
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

Journals

  1. Steyn N, Chadeau-Hyam M, Whitaker M, Atchison C, Ashby D, Cooke G, Ward H, Elliott P, Donnelly C. Pandemic risk-related behaviour change in England from June 2020 to March 2022: the cross-sectional REACT-1 study among over 2 million people. BMJ Public Health 2025;3(2):e002851 View
  2. Chapman A, Bennett P, Rohlf V. Development and Evaluation of the Veterinary Nurse Burnout Prevention Survey (VNBPS). Veterinary Sciences 2026;13(1):56 View
  3. Patel K, Stout M, Solis M, Riyahi N, Holland C, Vohra-Khullar P, Moore M, Dbouk R. The Effect of Ambient Listening Technology on the Patient Experience. Applied Clinical Informatics 2026;17(01):082 View
  4. Öztürk A, Eryılmaz M, Polat M, Kitapçı H, Kavurmacı Aytaç C. A study of the mediating effect of competitive advantage on the relationship between corporate social responsibility and performance. International Journal of Emerging Markets 2026:1 View
  5. Frawley J, Hutchens J, Wiley K, Mahimbo A. Uptake of Commonwealth funded influenza vaccines for Australian children aged 6-months to <5 years during the COVID-19 pandemic. Vaccine 2026;79:128514 View