Unmeasured confounding in nonrandomized studies: quantitative bias analysis in health technology assessment.

Leahy, Thomas P; Kent, Seamus; Sammon, Cormac; Groenwold, Rolf Hh; Grieve, Richard; Ramagopalan, Sreeram; Gomes, Manuel

Leahy, Thomas P; Kent, Seamus; Sammon, Cormac; Groenwold, Rolf Hh; Grieve, Richard; Ramagopalan, Sreeram; Gomes, Manuel.

Afiliação

Leahy TP; PHMR Ltd., Westport, F28 ET85, Ireland.
Kent S; National Institute for Health & Care Excellence, Manchester, M1 4BT, UK.
Sammon C; PHMR Ltd., Westport, F28 ET85, Ireland.
Groenwold RH; Department of Clinical Epidemiology & Department of Biomedical Data Sciences, Leiden University Medical Centre, Einthovenweg 20, Leiden, 2333, The Netherlands.
Grieve R; Department of Health Services Research and Policy, London School of Hygiene & Tropical Medicine, London, WC1E 7HT, UK.
Ramagopalan S; Global Access, F. Hoffmann-La Roche, Grenzacherstrasse 124 CH-4070, Basel, Switzerland.
Gomes M; Department of Applied Health Research, University College London, London, WC1E 6BT, UK.

J Comp Eff Res ; 11(12): 851-859, 2022 08.

Article em En | MEDLINE | ID: mdl-35678151

Assuntos

Avaliação da Tecnologia Biomédica; Viés; Humanos; Avaliação da Tecnologia Biomédica/métodos

Palavras-chave

HTA; nonrandomized; quantitative bias analysis; unmeasured confounding

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Avaliação da Tecnologia Biomédica Tipo de estudo: Health_technology_assessment Limite: Humans Idioma: En Revista: J Comp Eff Res Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irlanda

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