IWASAKI Manabu

J-GLOBAL         Last updated: May 26, 2019 at 11:44
 
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Name
IWASAKI Manabu
Affiliation
Seikei University
Section
Faculty of Science and Technology Department of Computer and Information Science
Degree
Ph. D(Tokyo University of Science), M. S.(Tokyo University of Science)

Research Interests

 
 

Research Areas

 
 

Academic & Professional Experience

 
Apr 1998
 - 
Mar 2018
Professor, Department of Computer and Information Science, Seikei University
 
Apr 1993
 - 
Mar 1998
Associate Professor, Department of Administrative Engineering, Seikei University
 
Apr 2018
 - 
Today
Professor, School of Data Science, Yokohama City University
 
Oct 1987
 - 
Mar 1993
Associate Professor, Department of Mathematics and Physics, National Defence Academy
 
Apr 1984
 - 
Sep 1987
Lecturer, Department of Mathematics and Physics, National Defence Academy
 
Apr 1977
 - 
Mar 1984
Research Associate, Department of Information Engineering, Ibaraki University
 
1977
 - 
1984
Research Associate, Faculty of Engineering,
 
1984
 - 
1993
Associate Professor, National Defense Academy
 

Education

 
Apr 1975
 - 
Mar 1977
Mathematics, Graduate School of Science, Tokyo University of Science
 
 
 - 
1977
Graduate School, Division of Natural Science, Tokyo University of Science
 
Apr 1971
 - 
Mar 1975
Applied Mathematics, School of Science, Tokyo University of Science
 
 
 - 
1975
Faculty of Science, Tokyo University of Science
 

Awards & Honors

 
Mar 2018
Honorary Member, The Biometric Society of Japan
 
Mar 2018
Award of Distinguished Carrier, The Biometric Society of Japan
 
Sep 2017
Chikio Hayashi Prize (Outstanding Contribution), Behaviormetric Society
 
Sep 2015
Fellow, Japanese Society of Computational Statistics
 

Published Papers

 
Roxadustat treatment of chronic kidney disease-associated anemia in Japanese patients not on dialysis: A phase 2, randomized, double-blind, placebo-controlled trial
Akizawa, T., Iwasaki, M., Otsuka, T., Reusch, M. and Misumi, T.
Advances in Therapy   On-line 1-17   Apr 2019   [Refereed]
Data Science and Statistical Causal Inference
IWASAKI Manabu
Direct Marketing Review   18(1) 5-16   Mar 2019   [Invited]
Imputing the mean of a heteroskedastic log-normal missing variable: A unified approach to ratio imputation
Takahashi, M., Iwasaki, N., Tsubaki, H.
Statistical Journal of the IAOS   33(3) 763-776   Sep 2017   [Refereed]
A sensitivity analysis for the causal effect under apparent non-compliance
SANO Fumiya and IWASAKI Manabu
Japanese Journal of behaviormetrics   44(2) 199-207   Oct 2017   [Refereed]
Iwasaki, M.
Journal of the Japan Statistical Society, Series J   45(2) 217-230   Mar 2016   [Refereed][Invited]
Honda, M., Hiki, N., Kinoshita, T., Yabusaki, H., Abe, T., Nunobe, S., Terada, M., Matsuki, A., Sunagawa, H., Aizawa, M., Healy, M. A., Iwasaki, M. and Furukawa, T. A.
Annals of Surgery   264 214-222   2016   [Refereed]
Togo, K. and Iwasaki, M.
Japanese Journal of Biometrics   34(2) 53-66   2014   [Refereed]
A new testing procedure for the probability of rare events
Yoshida, K. and Iwasaki, M.
Journal of the Faculty of Science and Technology, Seikei University   23 11-16   2013
Togo, K. and Iwasaki, M.
Journal of Biopharmaceutical Statistics   23 1067-1080   2013   [Refereed]
Gotoh, M., Okubo, K., Hashiguchi, K., Wakabayashi, K., Kanzaki, S., Tanaka, N., Fujioka, M., Kawashima, K., Suematsu, K., Sasaki, K., Iwasaki, M. and Yamamotoya, H.
Allegy and Asthma Proceedings   33(6) 459-466   2012   [Refereed]

Books etc

 
Study Note Statistics 3
IWASAKI Manabu (Part:Joint Work)
Jun 2017   
Standard: Foundation of Statitsics
IWASAKI Manabu and HIMENO Tetsuto (Part:Joint Work)
May 2017   

Conference Activities & Talks

 
Recent Activities of Data Science at Yokohama City University
IWASAKI Manabu
International Conference on Education of Data Science in Hikone, 2018 (HDS2018)   14 Nov 2018   
An assessment of the distance between propensity-score matched individuals in causal inference
Sano, F., Hosoya S., Iwasaki, M.
East Asia Regional Biometric Conference (EAR-BC) 2015   21 Dec 2015   
Imputation models for longitudinal zero-inflated count data with dropouts
Abe, T., Sato, Y. and Iwasaki, M.
International Society of Clinical Biostatistics 2015 (Utrecht, Netherland)   26 Aug 2015   
Multiple imputation for longitudinal count data with dropouts – A methodological evaluation
Abe, T., Shiosakai, K., Sano, F., Roberts, R., Sato, Y. and Iwasaki, M.
Joint Statistical Meetings (Seattle, USA)   8 Aug 2015   
Evaluation of statistical methods for longitudinal count data with dropouts
Abe, T., Shiosakai, K., Sato, Y. and Iwasaki, M.
Joint Statistical Meetings (JSM2014) (Boston, USA),   4 Aug 2014   
Challenges and issues in developing real-world curriculum for data scientists in Japan
Kudo, T., Iwasaki, M., Watanabe, M., Morikawa, T., Furutani, T. and Hayashi, Y.
The 9th International Conference on Teaching Statistics (ICOTS9) (Flagdtaff, Arizona, USA)   15 Jul 2014   
Establishing standards of conduct to encourage statisticians to embrace individual principles
Sato, K., Iwasaki, M., Suganami, H., Sato, T., Tsubaki, H. and Ohashi, Y.
The 27th International Biometric Conference (IBC2014) (Florence, Italy)   10 Jul 2014   
Sample size calculation for non-inferiority clinical trials with paired Poisson count data
Abe, T., Sato, Y. and Iwasaki, M.
The 27th International Biometric Conference (IBC2014) (Florence, Italy)   10 Jul 2014   
A phase 2B study of an oral JAK inhibitor ASP015K monotherapy in Japanese patients with moderate to severe rheumatoid arthritis
Takeuchi, T., Tanaka, Y., Iwasaki, M., Ishikura, H., Saeki, S., Kaneko, Y. and Garg, J.
The European League against Rheumatism (EULAR2014) (Paris, France)   12 Jun 2014   
A comparison of methods for analysis of longitudinal categorical data with dropouts
Abe, T., Sato, Y. and Iwasaki, M.
Joint Statistical Meeting 2013 (Montreal, Canada)   22 Aug 2013   

Association Memberships

 
 

Research Grants & Projects

 
Data Analysis in Medical Science
Grant-in-Aid for Scientific Research
Data mining
Ordinary Research
Computer-Intensive Statistical Data Analysis
Ordinary Research