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
Abstract BackgroundHigh response rates are needed in population-based studies, as nonresponse reduces effective sample size and bias affects accuracy and decreases the generalizability of the study findings. ObjectiveWe tested different strategies to improve respon...
| Автори: | , , , , , , , , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
JMIR Publications
2025-01-01
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| Серія: | JMIR Public Health and Surveillance |
| Онлайн доступ: | https://publichealth.jmir.org/2025/1/e60022 |