Evaluation of a clinical study design for PPK analysis
| Project/Area Number |
26330049
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Teikyo University |
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Principal Investigator |
Nemoto Asuka 帝京大学, 大学院公衆衛生学研究科, 講師 (20722482)
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| Co-Investigator(Renkei-kenkyūsha) |
TANGO Toshiro 帝京大学, 大学院公衆衛生学研究科, 教授 (70124477)
YAMAOKA Kazue 帝京大学, 大学院公衆衛生学研究科, 教授 (50091038)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 母集団薬物動態解析 / サンプル取得計画 / パラメータ推定精度 / ベイズ流解析 / シミュレーション |
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| Outline of Final Research Achievements |
This research aimed to improve the reliability of the estimated population pharmacokineitc (PPK) parameters after assessing the precision and accuracy of the estimates by stochastic simulation and estimation for data obtained by the limited sampling design (LSD). A motivation example was a PPK analysis of blood alcohol concentration after ingestion of alcoholic beverages in Japanese subjects. The precision and accuracy of PPK parameters was evaluated based on estimates from the LSD, compared with the dense sampling design. An additional covariates were identified by using MCMC Bayesian estimation, which allowed incorporation of parameters of a PPK model reported elsewhere as a informative priors.
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Report
(4 results)
Research Products
(8 results)
