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
Christina J Atchison
1
, PhD ;
Nicholas Gilby
2
, BA ;
Galini Pantelidou
2
, MSc ;
Sam Clemens
2
, BA ;
Kevin Pickering
2
, MSc ;
Marc Chadeau-Hyam
1
, PhD ;
Deborah Ashby
1
, PhD ;
Wendy S Barclay
3
, PhD ;
Graham S Cooke
3
, PhD ;
Ara Darzi
4
, MD ;
Steven Riley
1
, PhD ;
Christl A Donnelly
1, 5
, ScD ;
Helen Ward
1
, PhD ;
Paul Elliott
1
, PhD
1
School of Public Health, Imperial College London, London, United Kingdom
2
Ipsos, London, United Kingdom
3
Department of Infectious Disease, Imperial College London, Norfolk Place, London, United Kingdom
4
Institute of Global Health Innovation, Imperial College London, South Kensington Campus, London, United Kingdom
5
Department of Statistics, University of Oxford, Oxford, United Kingdom
Corresponding Author:
-
Paul Elliott, PhD
-
School of Public Health
-
Imperial College London
-
White City Campus, 90 Wood Lane
-
London, W12 0BZ
-
United Kingdom
-
Email: p.elliott@imperial.ac.uk