A Method for Accurate Estimation of Busulfan AUC and Its Confidence Interval
| Project/Area Number |
22500264
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | Kitasato University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Renkei-kenkyūsha) |
FUKUMOTO Mariko 北里大学, 薬学部, 准教授 (40137914)
|
|---|
| Project Period (FY) |
2010 – 2012
|
| Project Status |
Completed (Fiscal Year 2012)
|
| Budget Amount *help |
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2010: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
|
|---|
| Keywords | 統計数学 / 薬学 / 血中濃度曲線下面積 / ブスルファン / 投与量個別化 / 統計学 / 少数回採血法 |
|---|
| Research Abstract |
Over 100 limited sampling strategies (LSSs) have been proposed to reduce the number of blood samples necessary to estimate the optimal dose of drugs. However, the conditions under which these strategies succeed or fail remain to be clarified. We investigated the accuracy of existing LSSs both theoretically and numerically. Our investigation proved that existing LSSs induce different but specific biases in the estimation of the dose. We also proposed a new method for the estimation and proved that it provides an accurate and precise estimation of the optimal dose.
|
Report
(4 results)
Research Products
(20 results)
