Applied statistics for medical and biological research
Biostatistics is an applied statistics for medical and biological research, and aims to develop, apply, advice on statistical methodology for study design and data analysis in the research. The Department of Biostatistics at the Faculty of Medicine at the University of Tsukuba contributes to solve problems in human health using statistical approaches. The Department also provides an environment to pursue research and education in biostatistics. The biostatistical research in the department is categorized by methodology and practice.
The department develops the novel statistical methods for health researches and addresses the issue as follows
- Sample size determination
- Non-inferiority trial
- Interim analysis
- Adaptive design methods
- Longitudinal data analysis
- Missing data analysis
- Survival analysis
- Skewed data analysis
- Transformation of data
- Signal detection methods
Recent publications in methodological researches in biostatistics
- Maruo K, Tada K, Ishii R, Gosho M (2017). An efficient procedure for calculating sample size through statistical simulations. Statistics in Biopharmaceutical Research. doi.org/10.1080/19466315.2017.1349689
- Sato A, Shimura M, Gosho M (2017). Practical characteristics of adaptive design in phase 2 and 3 clinical trials. Journal of Clinical Pharmacy and Therapeutics. DOI: 10.1111/jcpt.12617
- Yamaguchi Y, Misumi T, Maruo K (2017). A comparison of multiple imputation methods for incomplete longitudinal binary data. Journal of Biopharmaceutical Statistics, DOI: 10.1080/10543406.2017.1372772
- Gosho M, Sato Y, Nagashima K, Takahashi S (2017). Trends in study design and the statistical methods employed in a leading general medicine journal. Journal of Clinical Pharmacy and Therapeutics. DOI: 10.1111/jcpt.12605
- Yamaguchi Y, Maruo K, Partlett C, Riley RD (2017). A random effects meta-analysis model with Box–Cox transformation. BMC Medical Research Methodology, 17(109).
- Gosho M, Maruo K, Tada K, Hirakawa A (2017). Utilization of chi-square statistics for screening adverse drug-drug interactions in spontaneous reporting systems. European Journal of Clinical Pharmacology 73, 779—786.
- Maruo K, Yamaguchi Y, Noma H, Gosho M (2017). Interpretable inference on the mixed effect model with the Box–Cox transformation. Statistics in Medicine 36, 2420—2434.
- Maruo K, Yamabe T, Yamaguchi Y (2017). Statistical simulation based on right skewed distributions. Computational Statistics 32, 889—907.
- Shimura M, Gosho M, Hirakawa A (2017). Comparison of conditional bias-adjusted estimators for interim analysis in clinical trials with survival data. Statistics in Medicine 36, 2067—2080.
- Sato Y, Gosho M, Nagashima K, Takahashi S, Ware JM, Laird NM (2017). Statistical Methods in the Journal — an update. New England Journal of Medicine 376, 1086—1087.
In practice, the department applies data science to solve problems in medical and biological researches through designing studies, organizing and analyzing data, and collaborating on multidisciplinary research teams.
In the Tsukuba Clinical Research & Development Organization: T-CReDO, the faculty members are designing clinical trials, conducting data analysis, writing medical articles, and consulting on statistical issues in many medical fields as trial statisticians.