Staff Introduction

: 武冨奈菜美 Nanami TAKETOMI

- Email
nnmtk73nagasaki-u.ac.jp

- Position / Degree Institute of Integrated Science and Technology, Assistant Professor
School of Information and Data Sciences, Assistant Professor
PhD in Medical Biostatistics

- Specialized Field Statistical Science, Biostatistics

- External Links researchmap

CV

Mar.2017	Bachelor of Science and Engineering, Shimane University
Mar.2019	Master of Medical Science, Graduate School of Medicine, Kurume University
Mar.2024	Doctor of Medical Biostatistics, Graduate School of Medicine, Kurume University
Apr.2024	Researcher, Clinical Research Center in Hiroshima, Hiroshima University Hospital
May.2024	Assistant Professor (Special Appointment), Clinical Research Center in Hiroshima, Hiroshima University Hospital
May.2025	Assistant Professor, School of Information and Data Sciences, Nagasaki University

Research Activities

Statistical theory and its application in medical health data

I am interested in the statistical theory and its application for medical health data. Among the medical health data, I am mainly doing the researches based on survival data which includes time to event such as death, recurrence, pregnancy, and so on.
We estimate parameters that identify the survival distribution and evaluate the association between survival time and factors (e.g. age, sex, drugs).

Figure: Survival functions based on different parameter estimates

I would like to challenge doing researches on reliability engineering to evaluate the time to failure of machines and the frequency of defective products. I would also like to challenge doing researches on the cost-effectiveness analysis.

Summarizing results from studies using meta-analysis

I am doing research on the methodologies of meta-analysis for combining the results from several studies.
I am also interested in meta-regression analysis for evaluating the association between covariates (e.g. age, sex, dose of drug, expression level of a protein, and so on) and results from studies.

Educational Activities

Class

School of Information and Data Sciences：CalculusⅠ

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