Document Type
Capstone Experience
Graduation Date
5-2022
Degree Name
Master of Public Health
Department
Biostatistics
First Committee Member
Lynette M. Smith, PhD
Second Committee Member
Christopher Wichman, PhD
Third Committee Member
Maneesh Jain, PhD
Abstract
Currently, many published animal experiments fail to include concise information regarding randomization (Festing, 2014). By not including randomization efforts in published research, the ability for one to accurately reproduce a study’s results is greatly diminished. This can be seen in randomization efforts that may be difficult to reproduce, such as poor randomization techniques and lack of documentation. Therefore, the creation of the Randomizer utilizing software R to create a user-friendly program that can enable University of Nebraska Medical Center (UNMC) researchers, among others, to create randomization schemes for research involving mice, other animal, or human subjects, and enhance documentation and reproducibility of results. The creation of a randomizer results in a consistent method of generating randomization schemes for research use. The program operates in R, utilizing R Shiny, and has the ability for the user to define randomization aspects to tailor their randomization scheme while also creating a transparent, documentation-friendly paper trail.
Festing, M. F. W. (2014). Randomized Block Experimental Designs Can Increase the Power and Reproducibility of Laboratory Animal Experiments. ILAR Journal, 55(3), 472-476. https://doi.org/10.1093/ilar/ilu045
Recommended Citation
Savage, Cali R., "Randomizer Utilizing R Shiny" (2022). Capstone Experience. 177.
https://digitalcommons.unmc.edu/coph_slce/177