Leahy, Thomas P;
Duffield, Stephen;
Kent, Seamus;
Sammon, Cormac;
Tzelis, Dimitris;
Ray, Joshua;
Groenwold, Rolf Hh;
... Grieve, Richard; + view all
(2022)
Application of quantitative bias analysis for unmeasured confounding in cost-effectiveness modelling.
Journal of Comparative Effectiveness Research
10.2217/cer-2022-0030.
(In press).
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Abstract
Due to uncertainty regarding the potential impact of unmeasured confounding, health technology assessment (HTA) agencies often disregard evidence from nonrandomised studies when considering new technologies. Quantitative bias analysis (QBA) methods provide a means to quantify this uncertainty but have not been widely used in the HTA setting, particularly in the context of cost-effectiveness modelling (CEM). This study demonstrated the application of an aggregate and patient-level QBA approach to quantify and adjust for unmeasured confounding in a simulated nonrandomised comparison of survival outcomes. Application of the QBA output within a CEM through deterministic and probabilistic sensitivity analyses and under different scenarios of knowledge of an unmeasured confounder demonstrates the potential value of QBA in HTA.
| Type: | Article |
|---|---|
| Title: | Application of quantitative bias analysis for unmeasured confounding in cost-effectiveness modelling |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.2217/cer-2022-0030 |
| Publisher version: | https://doi.org/10.2217/cer-2022-0030 |
| Language: | English |
| Additional information: | This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Keywords: | HTA, cost–effectiveness, nonrandomised, quantitative bias analysis, unmeasured confounding |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10150258 |
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