Application of quantitative bias analysis for unmeasured confounding in cost-effectiveness modelling.

Leahy, Thomas P; Duffield, Stephen; Kent, Seamus; Sammon, Cormac; Tzelis, Dimitris; Ray, Joshua; Groenwold, Rolf Hh; Gomes, Manuel; Ramagopalan, Sreeram; Grieve, Richard

Leahy, Thomas P; Duffield, Stephen; Kent, Seamus; Sammon, Cormac; Tzelis, Dimitris; Ray, Joshua; Groenwold, Rolf Hh; Gomes, Manuel; Ramagopalan, Sreeram; Grieve, Richard.

Affiliation

Leahy TP; PHMR LTD, Westport, F28 ET85, Ireland.
Duffield S; National Institute for Health & Care Excellence, Manchester, M1 4BT, UK.
Kent S; National Institute for Health & Care Excellence, Manchester, M1 4BT, UK.
Sammon C; PHMR LTD, Westport, F28 ET85, Ireland.
Tzelis D; PHMR LTD, London, NW1 8XY, England.
Ray J; Global Access, F. Hoffmann-La Roche, Grenzacherstrasse 124, CH-4070, Basel, Switzerland.
Groenwold RH; Leiden University Medical Centre, Department of Clinical Epidemiology & Department of Biomedical Data Sciences, Einthovenweg 20, 2333, ZC Leiden, The Netherlands.
Gomes M; University College London, London, WC1E 7HB, UK.
Ramagopalan S; Global Access, F. Hoffmann-La Roche, Grenzacherstrasse 124, CH-4070, Basel, Switzerland.
Grieve R; London School of Hygiene & Tropical Medicine, London, WC1H 9SH, UK.

J Comp Eff Res ; 11(12): 861-870, 2022 08.

Article in En | MEDLINE | ID: mdl-35678168

Subject(s)
Key words

HTA; costeffectiveness; nonrandomized; quantitative bias analysis; unmeasured confounding

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Confounding Factors, Epidemiologic Type of study: Health_economic_evaluation / Health_technology_assessment / Prognostic_studies Limits: Humans Language: En Journal: J Comp Eff Res Year: 2022 Document type: Article Affiliation country: Irlanda

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