Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children.
There are challenges associated with recruiting children to take part in randomised clinical trials and as a result, compared to adults, in many disease areas we are less certain about which treatments are most safe and effective. This can lead to weaker recommendations about which treatments to pre...
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| Format: | Article |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0281791 |
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| author | Ruth Walker Bob Phillips Sofia Dias |
| author_facet | Ruth Walker Bob Phillips Sofia Dias |
| author_sort | Ruth Walker |
| collection | DOAJ |
| description | There are challenges associated with recruiting children to take part in randomised clinical trials and as a result, compared to adults, in many disease areas we are less certain about which treatments are most safe and effective. This can lead to weaker recommendations about which treatments to prescribe in practice. However, it may be possible to 'borrow strength' from adult evidence to improve our understanding of which treatments work best in children, and many different statistical methods are available to conduct these analyses. In this paper we discuss four Bayesian methods for extrapolating adult clinical trial evidence to children. Using an exemplar dataset, we compare the effect of their modelling assumptions on the estimated treatment effect and associated heterogeneity. These modelling assumptions range from adult evidence being completely generalisable to being completely unrelated to the children's evidence. We finally discuss the appropriateness of these modelling assumptions in the context of estimating treatment effect in children. |
| format | Article |
| id | doaj-art-172dd337bb0845ad9b5b6ea49cc55ea9 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
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| series | PLoS ONE |
| spelling | doaj-art-172dd337bb0845ad9b5b6ea49cc55ea92025-08-20T03:25:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01186e028179110.1371/journal.pone.0281791Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children.Ruth WalkerBob PhillipsSofia DiasThere are challenges associated with recruiting children to take part in randomised clinical trials and as a result, compared to adults, in many disease areas we are less certain about which treatments are most safe and effective. This can lead to weaker recommendations about which treatments to prescribe in practice. However, it may be possible to 'borrow strength' from adult evidence to improve our understanding of which treatments work best in children, and many different statistical methods are available to conduct these analyses. In this paper we discuss four Bayesian methods for extrapolating adult clinical trial evidence to children. Using an exemplar dataset, we compare the effect of their modelling assumptions on the estimated treatment effect and associated heterogeneity. These modelling assumptions range from adult evidence being completely generalisable to being completely unrelated to the children's evidence. We finally discuss the appropriateness of these modelling assumptions in the context of estimating treatment effect in children.https://doi.org/10.1371/journal.pone.0281791 |
| spellingShingle | Ruth Walker Bob Phillips Sofia Dias Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. PLoS ONE |
| title | Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. |
| title_full | Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. |
| title_fullStr | Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. |
| title_full_unstemmed | Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. |
| title_short | Comparison of Bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children. |
| title_sort | comparison of bayesian methods for incorporating adult clinical trial data to improve certainty of treatment effect estimates in children |
| url | https://doi.org/10.1371/journal.pone.0281791 |
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