Selection bias and subject refusal in a cluster-randomized controlled trial

Autor: Rochelle Yang, Barry L. Carter, Tyler H. Gums, Brian M. Gryzlak, Yinghui Xu, Barcey T. Levy

Publikováno v: BMC Medical Research Methodology, Vol 17, Iss 1, Pp 1-10 (2017)

Abstract Background Selection bias and non-participation bias are major methodological concerns which impact external validity. Cluster-randomized controlled trials are especially prone to selection bias as it is impractical to blind clusters to thei

Externí odkaz: https://doaj.org/article/9213101b130e47c9bf6748c413495ac5

Active (Opt-In) Consent Underestimates Mean BMI-z and the Prevalence of Overweight and Obesity Compared to Passive (Opt-Out) Consent. Evidence from the Healthy Together Victoria and Childhood Obesity Study

Autor: Joshua Hayward, Lynne Millar, Liliana Orellana, Steven Allender, Claudia Strugnell, Boyd Swinburn

Publikováno v: International Journal of Environmental Research and Public Health, Vol 15, Iss 4, p 747 (2018)
International Journal of Environmental Research and Public Health; Volume 15; Issue 4; Pages: 747
International Journal of Environmental Research and Public Health

Background: Tracking population trends in childhood obesity and identifying target areas for prevention requires accurate prevalence data. This study quantified the magnitude of non-participation bias for mean Body Mass Index-z scores and overweight/

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::318f61c29057f15c0d0eb873d101635b
https://doi.org/10.3390/ijerph15040747

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SESGO PELA FALTA DE PARTICIPAÇÃO NA PESQUISA DOS SERVIÇOS DE SAÚDE AO USAR DADOS DE UM PROJETO INTEGRADO DE PRESCRIÇÃO ELETRÔNICA: O PAPEL DO CONSENTIMENTO INFORMADO

Autor: Bartlett, Gillian, Tamblyn, Robyn M, Kawasumi, Yuko, Poissant, Lise, Taylor, Laurel

Publikováno v: Acta bioethica, Volume: 11, Issue: 2, Pages: 145-159, Published: 2005

Electronic prescribing potentially reduces adverse outcomes and provides critical information for drug safety research but studies may be distorted by non-participation bias. 52,507 patients and 28 physicians were evaluated to determine characteristi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______614::f96a73e0a46167baf7c58cfabea68d41
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S1726-569X2005000200005&lng=en&tlng=en

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