Dynamic Registration Method with Balancing for Prognostic Factors in Observational StudiesMasahiro Sugihara1*, Satoshi Morita2, Naoki Yamanouchi1, Shinya Sakai3, Noriaki Ohba3, Wataru Ichikawa4 and Yasuo Ohashi5
- *Corresponding Author:
- Masahiro Sugihara
Clinical Data and Biostatistics Department
R&D Division, Daiichi Sankyo Co., Ltd.
1-2-58, Hiromachi, Shinagawa-ku
Tokyo 140-8710, Japan
E-mail: [email protected]
Received date: March 13, 2012; Accepted date: May 18, 2012; Published date: May 19, 2012
Citation: Sugihara M, Morita S, Yamanouchi N, Sakai S, Ohba N, et al.(2012) Dynamic Registration Method with Balancing for Prognostic Factors in Observational Studies. J Biomet Biostat S7:012.doi:10.4172/2155-6180.S7-012
Copyright: © 2012 Sugihara M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Randomized controlled trials are the most scientifically informative studies for evaluating treatment effects. However, we need to conduct observational studies to evaluate unallocatable factors such as genotype, preference, or lifestyle. In observational studies, subject characteristics among the comparison groups might be imbalanced due to non-random allocation. We proposed a dynamic registration method to improve comparability among comparison groups with no allocation. The dynamic registration method is a registration method based on the minimization method, which decides whether or not to register a subject based on the background information of subjects already recruited and the new subject. Simulation studies were conducted to examine the performance of this method in improving comparability among comparison groups. Simulation studies showed that the dynamic registration method improves the comparability among comparison groups. The dynamic registration method can be used to enhance the quality of observational studies for unallocatable factors.