التفاصيل البيبلوغرافية
| العنوان: |
Data-Driven Prior Distributions for A Bayesian Phase-2 COPD Dose-Finding Clinical Trial |
| المؤلفون: |
Steven J. Novick, Shuyen Ho, Nicky Best |
| بيانات النشر: |
Taylor & Francis, 2018. |
| سنة النشر: |
2018 |
| مصطلحات موضوعية: |
Statistics and Probability, COPD, medicine.medical_specialty, business.industry, fungi, Bayesian probability, Phase (waves), food and beverages, Pharmaceutical Science, medicine.disease, 01 natural sciences, Data-driven, Clinical trial, 010104 statistics & probability, 03 medical and health sciences, Dose finding, 0302 clinical medicine, Physical medicine and rehabilitation, Prior probability, medicine, 030212 general & internal medicine, 0101 mathematics, business |
| الوصف: |
The prior distribution reflects knowledge and uncertainty of the modeled parameters. Determining the prior distribution for a dose-finding clinical trial can be influential in its design and analysis. Using the planning of a phase 2 trial for COPD with a dose-response curve as a case study, we illustrate the use of relevant historical data for the nonlinear curve mean-model parameters as well as consideration for terms to characterize between-trial and within-trial variability. Through a predictive inference exercise, a data-driven informative prior distribution is constructed for the future study. We share our strategies on how to obtain informative Bayesian priors for both design and analysis of dose-finding clinical trials using relevant historical data and deal with the associated issues. |
| DOI: |
10.6084/m9.figshare.6201071.v1 |
| URL الوصول: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2e69ccb433b96508f451373b446ad9b |
| Rights: |
OPEN |
| رقم الانضمام: |
edsair.doi.dedup.....f2e69ccb433b96508f451373b446ad9b |
| قاعدة البيانات: |
OpenAIRE |