Random allocation and dynamic allocation randomization.
10.17085/apm.2017.12.3.201
- Author:
Hyun KANG
1
Author Information
1. Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, Korea. roman00@naver.com
- Publication Type:Review
- Keywords:
Microsoft excel;
Random allocation;
Research design;
Software;
Statistics
- MeSH:
Classification;
Random Allocation*;
Research Design;
Selection Bias
- From:Anesthesia and Pain Medicine
2017;12(3):201-212
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Random allocation is commonly used in medical researches, and has become an essential part of designing clinical trials. It produces comparable groups with regard to known or unknown prognostic factors, and prevents the selection bias which occurs due to the arbitrary assignment of subjects to groups. It also provides the background for statistical testing. Depending on the change in allocation probability, random allocation is divided into two categories: fixed allocation randomization and dynamic allocation randomization. In this paper, the author briefly introduces both the theory and practice of randomization. The definition, necessity, principal, significance, and classification of randomization are also explained. Advantages and disadvantages of each randomization technique are further discussed. Dynamic allocation randomization (Adaptive randomization), which is as yet unfamiliar with the anesthesiologist, is also introduced. Lastly, the methods and procedures for random sequence generation using Microsoft Excel is provided.
