AKITA TOMOYUKI

J-GLOBAL         Last updated: Sep 23, 2019 at 02:41
 
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Name
AKITA TOMOYUKI
E-mail
tomo-akitahiroshima-u.ac.jp
Affiliation
Hiroshima University
Section
.
Job title
助教
Degree
Doctor of Science(Hiroshima University), Master of Science(Hiroshima University)
Research funding number
80609925

Research Areas

 
 

Academic & Professional Experience

 
Apr 2011
 - 
Mar 2012
Assistant Professor (Special Appointment), Graduate School of Biomedical Sciences, Hiroshima University
 
Apr 2012
 - 
Dec 2014
Assistant Professor (Special Appointment), Institute of Biomedical & Health Sciences, Hiroshima University
 
Jan 2015
 - 
Mar 2017
Assistant Professor, Institute of Biomedical & Health Sciences, Hiroshima University
 
Oct 2017
 - 
Mar 2019
Assistant Professor, Graduate School of Biomedical & Health Sciences, Hiroshima University
 

Education

 
Apr 2008
 - 
Sep 2010
Hiroshima University
 
Apr 2006
 - 
Mar 2008
Hiroshima University
 
Apr 2002
 - 
Mar 2006
Hiroshima University
 

Published Papers

 
An improvement method of sliced inverse regression using principal component analysis.
Journal of Statistics and Application.   4(2-3) 489-498   2009   [Refereed]
High-dimensional Edgeworth expansion of a test statistic on independence and its error bound.
Journal of Multivariate Analysis   101 1806-1813   2010   [Refereed]
Tanaka, Junko; Koyama, Tomiko; Mizui, Masaaki; Uchida, Shigeru; Katayama, Keiko; Matsuo, Junko; Akita, Tomoyuki; Nakashima, Ayumu; Miyakawa, Yuzo; Yoshizawa, Hiroshi
INTERVIROLOGY   54(4) 185-195   2011   [Refereed]
Objective: To estimate total numbers of undiagnosed carriers of hepatitis C virus (HCV) and hepatitis B virus (HBV) in Japan. Methods: Area- and age-specific prevalence of HCV as well as HBV was determined in the first-time blood donors [20-39 yea...
Estimation on inverse regression using principal components of covariance matrix of sliced data
Akita, Tomoyuki
HIROSHIMA MATHEMATICAL JOURNAL   41(1) 41-53   Mar 2011   [Refereed]
Li (1991) introduced the so called sliced inverse regression (SIR) which reduces the dimension of the input variable in regression analysis, without any model-fitting process. Akita et al. (2009) proposed an improvement of SIR, called SIR, which u...
Arintawati, Paramastri; Sone, Takashi; Akita, Tomoyuki; Tanaka, Junko; Kiuchi, Yoshiaki
JOURNAL OF GLAUCOMA   22(9) 713-718   Dec 2013   [Refereed]
Purpose:To determine whether the thicknesses of the different parameters of the ganglion cell complex (GCC) and peripapillary retinal nerve fiber layer can be used to differentiate eyes with glaucoma from normal eyes.Methods:Two hundred sixty-one ...

Research Grants & Projects

 
MEXT: KAKENHI
Project Year: 2011 - 2012    Investigator(s): AKITA, Tomoyuki
We analyzed data of sex- and age-specific mortality due to HCC using mathematical and epidemiological models (an age-period-cohort model and an age-period-carrier rate model). These models had a high performance in reproducing HCC mortality (R2>0....
Project Year: 2016 - 2017