How much loss to follow-up is acceptable in long-term randomised trials and prospective studies?
Abstract
to test early nutritional interventions and prospective observational cohorts. RCTs are generally accepted as methodologically the best approach for informing health policy. They can equalise unknown as well as known confounding factors and so can demonstrate causation; they permit estimation of effect size and so can be used to assess likely economic
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Chatbot study subject attrition may be a source of bias and systematic error leading to an incorrect estimation of association between exposure and outcome.
“Chatbot study subject attrition was an important indicator because it may be a source of bias and systematic error leading to an incorrect estimation of association between exposure and outcome [36].”
From Patient Engagement with Conversational Agents in Health Applications 2016–2022: A Systematic Review and Meta-Analysis (2024) · cites this paper as [36]
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“Chatbot study subject attrition was an important indica - tor because it may be a source of bias and systematic error leading to an incorrect estimation of association between exposure and outcome [36].”
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- Authors
- Fewtrell, M. S., Kennedy, K., Singhal, A., Martin, R. M., Ness, A., Hadders-Algra, M., Koletzko, B., & Lucas, A.
- Affiliations
- University of London (GB)
- University of Bristol (GB)
- Ludwig-Maximilians-Universität München (DE)
- Corresponding author
- Fewtrell, M. S
- Venue
- Archives of Disease in Childhood
- Publisher
- BMJ
- Published
- 2008-06-01
- Volume
- 93
- Issue
- 6
- Pages
- 458-461
- ISSN
- 0003-9888 (ISSN-L)
- 1468-2044
- OpenAlex
- W2037778859
- Cited by
- 601
- References
- 1
- Citations by year
- 2026: 32 · 2025: 40 · 2024: 29 · 2023: 28 · 2022: 50 · 2021: 45 · 2020: 36 · 2019: 39 · 2018: 55 · 2017: 42 · 2016: 43 · 2015: 34 · 2014: 19 · 2013: 27 · 2012: 30
- FWCI
- 16.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Disease in Childhood (publishedVersion)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion)
- Explore Bristol Research (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- loss to follow-up, attrition, early nutritional intervention, confounding, causal inference, effect size estimation, health policy evidence
- MeSH terms
- Adolescent, Adult, Child, Developmental Disabilities, Child, Preschool, Data Interpretation, Statistical, Female, Follow-Up Studies, Humans, Infant, Infant, Newborn, Male, Patient Dropouts, Pregnancy, Prospective Studies, Randomized Controlled Trials as Topic, Practice Guidelines as Topic, Evidence-Based Medicine, Prenatal Nutritional Physiological Phenomena
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