Tohoku university school of medicine

Biostatistics is the application of statistics to a wide range of topics in medical researches. It encompasses how to collect, analyze and report (interpret) the data from medical studies. Methodological research, collaboration, and education are three pillars of our division. We conduct methodological research in a broad range of areas, including design and analysis of clinical/epidemiological studies, information (data) management, survival data analysis and so on. Members in our Division direct the Data Center for the Innovation of New Biomedical Engineering Center, Tohoku University, and are providing research support in design, data management and statistical analysis in many projects inside/outside the university. We provide some undergraduate courses such as introduction to medical statistics and medical data analyses to students work in many medical fields.

1) A Markov decision analysis of allogeneic hematopoietic cell transplantation versus chemotherapy in patients with acute myeloid leukemia in first remission. Blood 2011; 117(7): 2113-20. 2011

2) Phase III randomized adjuvant study of tamoxifen alone versus sequential tamoxifen and anastrozole in Japanese postmenopausal women with hormone-responsive breast cancer: N-SAS BC03 study. Breast Cancer Research and Treatment 2010; 121(2): 379-87. 2010

3) Phase I trial of r viscumin (INN: aviscumine) given subcutaneously in patients with advanced cancer: A study of the European Organisation for Research and Treatment of Cancer (EORTC protocol number 13001). European Journal of Cancer 2008; 44(12): 1657-62. 2008

4) Case-control study on the association of upper gastrointestinal bleeding and nonsteroidal anti-inflammatory drugs in Japan. European Journal of Clinical Pharmacology 2006; 62: 765-772. 2006

5) Single-institute comparative analysis of unrelated bone marrow transplantation and cord blood transplantation for adult patients with hematologic malignancies. Blood 2004; 104(12): 3813-3820. 2004

Biostatistics, Information Management, Clinical Trial Methodology, Epidemiology, Regulatory Science