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Evidence, eminence and extrapolation
A full independent drug development programme to demonstrate efficacy may not be ethical and/or feasible in small populations such as paediatric populations or orphan indications. Different levels of extrapolation from a larger population to smaller target populations are widely used for supporting...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066662/ https://www.ncbi.nlm.nih.gov/pubmed/26753552 http://dx.doi.org/10.1002/sim.6865 |
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author | Hlavin, Gerald Koenig, Franz Male, Christoph Posch, Martin Bauer, Peter |
author_facet | Hlavin, Gerald Koenig, Franz Male, Christoph Posch, Martin Bauer, Peter |
author_sort | Hlavin, Gerald |
collection | PubMed |
description | A full independent drug development programme to demonstrate efficacy may not be ethical and/or feasible in small populations such as paediatric populations or orphan indications. Different levels of extrapolation from a larger population to smaller target populations are widely used for supporting decisions in this situation. There are guidance documents in drug regulation, where a weakening of the statistical rigour for trials in the target population is mentioned to be an option for dealing with this problem. To this end, we propose clinical trials designs, which make use of prior knowledge on efficacy for inference. We formulate a framework based on prior beliefs in order to investigate when the significance level for the test of the primary endpoint in confirmatory trials can be relaxed (and thus the sample size can be reduced) in the target population while controlling a certain posterior belief in effectiveness after rejection of the null hypothesis in the corresponding confirmatory statistical test. We show that point‐priors may be used in the argumentation because under certain constraints, they have favourable limiting properties among other types of priors. The crucial quantity to be elicited is the prior belief in the possibility of extrapolation from a larger population to the target population. We try to illustrate an existing decision tree for extrapolation to paediatric populations within our framework. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. |
format | Online Article Text |
id | pubmed-5066662 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-50666622016-11-01 Evidence, eminence and extrapolation Hlavin, Gerald Koenig, Franz Male, Christoph Posch, Martin Bauer, Peter Stat Med Research Articles A full independent drug development programme to demonstrate efficacy may not be ethical and/or feasible in small populations such as paediatric populations or orphan indications. Different levels of extrapolation from a larger population to smaller target populations are widely used for supporting decisions in this situation. There are guidance documents in drug regulation, where a weakening of the statistical rigour for trials in the target population is mentioned to be an option for dealing with this problem. To this end, we propose clinical trials designs, which make use of prior knowledge on efficacy for inference. We formulate a framework based on prior beliefs in order to investigate when the significance level for the test of the primary endpoint in confirmatory trials can be relaxed (and thus the sample size can be reduced) in the target population while controlling a certain posterior belief in effectiveness after rejection of the null hypothesis in the corresponding confirmatory statistical test. We show that point‐priors may be used in the argumentation because under certain constraints, they have favourable limiting properties among other types of priors. The crucial quantity to be elicited is the prior belief in the possibility of extrapolation from a larger population to the target population. We try to illustrate an existing decision tree for extrapolation to paediatric populations within our framework. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. John Wiley and Sons Inc. 2016-01-11 2016-06-15 /pmc/articles/PMC5066662/ /pubmed/26753552 http://dx.doi.org/10.1002/sim.6865 Text en © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Articles Hlavin, Gerald Koenig, Franz Male, Christoph Posch, Martin Bauer, Peter Evidence, eminence and extrapolation |
title | Evidence, eminence and extrapolation |
title_full | Evidence, eminence and extrapolation |
title_fullStr | Evidence, eminence and extrapolation |
title_full_unstemmed | Evidence, eminence and extrapolation |
title_short | Evidence, eminence and extrapolation |
title_sort | evidence, eminence and extrapolation |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5066662/ https://www.ncbi.nlm.nih.gov/pubmed/26753552 http://dx.doi.org/10.1002/sim.6865 |
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