Kyoto University · Medicine
Professor Nobuaki Hoshino's research lab specializes in statistical methodology and its applications in medical and ecological sciences. The lab focuses on developing advanced statistical models for risk prediction in colorectal cancer, improving surgical outcomes through innovative sampling techniques in clinical trials, and applying statistical mechanics to microdata disclosure risk assessment. A key strength lies in bridging theoretical statistics with practical healthcare applications, particularly in surgical decision-making and patient outcome prediction.
Figures are computed from collected data and may differ slightly.
Our nomogram can be a useful tool for accurate prediction of recurrence in stage II colorectal cancer.
The use of laparoscopy is becoming common in surgery for acute diffuse peritonitis due to gastrointestinal perforation. This approach may be a useful option for acute diffuse peritonitis.
The actual risk of emergency surgery and the risk factors for overall postoperative complications in emergency cases are shown to serve as a reference for postoperative management. Emergency surgery had an additional burden on patients depending on the type of surgery.
Fisher's logarithmic series model (Fisher et al. (1943)) is a classical model in statistical ecology. In this paper we show that this model is a key model linking three models discussed in Takemura (1997), i.e., Poisson-gamma model (Bethlehem et al. (1990)), Dirichlet-multinomial model (Takemura (1997)), and Ewens model (Ewens (1990), Sibuya (1993)). This connection opens up the possibility of applying existing techniques of statistical ecology to the problem of microdata disclosure risk assessm
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