Dynamic Registration Method with Balancing for Prognostic Factors in Observational Studies

Journal of Biometrics & Biostatistics

article

Masahiro Sugihara¹  Satoshi Morita²  Naoki Yamanouchi¹  Shinya Sakai³  Noriaki Ohba³  Wataru Ichikawa⁴  Yasuo Ohashi⁵ 

[1] Clinical Data and Biostatistics Department, R&D Division, Daiichi Sankyo Co., Ltd.;Department of Biostatistics and Epidemiology, Yokohama City University Graduate School of Medicine and Medical Center;Statistics Analysis Division 1, Biometrics Department, EPS Co., Ltd.;Department of Clinical Oncology, National Defense Medical College Hospital;Department of Biostatistics/Epidemiology and Preventive Health Sciences, University of Tokyo

关键词: Dynamic registration;    Minimization method;    Observational study;    Simulation studies;   

DOI  :  10.4172/2155-6180.S7-012

来源: Hilaris Publisher

【 摘 要 】

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.

【 授权许可】

Unknown