贝叶斯概率
外推法
医学
相似性(几何)
药物开发
药品
统计
计算机科学
药理学
数学
人工智能
图像(数学)
作者
Qunshu Zhang,James Travis,Rebecca Rothwell,Christopher E. Jay,Jahidur Rashid,Yifei Zhang,Victor Crentsil,Tara Altepeter,Jessica J. Lee,Gilbert J. Burckart,Charles J. Ganley,Jian Wang
摘要
Abstract The use of extrapolation of efficacy in pediatric drug development programs is possible when disease progression and treatment response are similar in adult and pediatric populations. Historically, the exposure‐response (E‐R) similarity was assessed by visual inspection of 2 E‐R curves to support pediatric extrapolation. The aim of this study was to develop a quantitative framework to describe the E‐R relationship and the difference in E‐R between pediatric and adult patients based on accumulated experience in pediatric drug development programs. Using clinical data for 8 drugs with either a linear or nonlinear E‐R relationship, we adapted the methodology used in noninferiority testing to assess the E‐R similarity between adult and pediatric patients at the targeted drug exposure. We implemented bootstrap‐based and Bayesian‐based methodologies to estimate the probability of concluding noninferiority of the E‐R relationship. This approach provides objective criteria that can be applied to an assessment of E‐R noninferiority in 2 populations to support extrapolation of efficacy in drug development programs from adults to pediatric populations.
科研通智能强力驱动
Strongly Powered by AbleSci AI