2016 Fiscal Year Final Research Report
Statistical frameworks for efficient decision-making in complex clinical trial designs
| Project/Area Number |
26330038
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Research Field |
Statistical science
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Keywords | 臨床試験 / 多重性 / 群逐次デザイン / 適応的デザイン / 多重エンドポイント |
|---|
| Outline of Final Research Achievements |
Many recent clinical trials for evaluating efficacy and safety of new interventions include multiple objectives, especially in medical product development. There are advantages of clinical trials with multiple objectives over trials with a single objective saving time and resources and more completely characterizing the intervention effects. However, such clinical trials require conducting a number of statistical tests and analyses associated with multiple objectives, and then, complex multiplicity or multiple testing problems occur. In this project, our team has conducted research on the design and analysis of such clinical trials, especially focusing on group-sequential and adaptive designs for clinical trials with multiple objectives, including design modification during trials
|
| Free Research Field |
統計科学
|
