Bayesian Approach to Utilize Historical Control Data in Clinical Trials
-
- Takeda Kentaro
- Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine Biostatistics Group, Data Science, Global Development, Astellas Pharma Inc.
-
- Oba Mari
- Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine
-
- Kakizume Tomoyuki
- Oncology Biostatistics Group, Oncology Biometrics and Data Management Department, Novartis Pharma K.K.
-
- Sakamaki Kentaro
- Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine
-
- Taguri Masataka
- Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine
-
- Morita Satoshi
- Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine
Bibliographic Information
- Other Title
-
- 臨床試験におけるヒストリカルコントロールデータの利用
- リンショウ シケン ニ オケル ヒストリカルコントロールデータ ノ リヨウ
Search this article
Description
It is expected to develop new drug more efficiently by incorporating historical data into the current study data. Borrowing historical data which is sufficiently similar to the current data allows increasing power and improving the accuracy of the estimated treatment effect. On the other hand, if the historical data is not similar to the current data, there is a potential for bias and inflated type I error rate. Power prior and hierarchical model are widely known as the Bayesian approaches with borrowing strength from historical information. They have the advantage of deciding the amount of historical information continuously depending on the similarity between historical data and current data. Our goal is to introduce power prior and hierarchical model while showing some examples, and provide a review of points to keep in mind when these approaches are used in the clinical trials.
Journal
-
- Japanese Journal of Biometrics
-
Japanese Journal of Biometrics 36 (1), 25-50, 2015
The Biometric Society of Japan
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390001204369760384
-
- NII Article ID
- 130005097960
-
- NII Book ID
- AA11591618
-
- ISSN
- 21856494
- 09184430
-
- NDL BIB ID
- 026649453
-
- Text Lang
- ja
-
- Article Type
- journal article
-
- Data Source
-
- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
-
- Abstract License Flag
- Disallowed