Rchr
J-GLOBAL ID:201001062822776757
Update date: Nov. 20, 2024
Nagashima Kengo
ナガシマ ケンゴ | Nagashima Kengo
Affiliation and department:
Job title:
Project Associate Professor
Other affiliations (4):
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Nippon Medical School
School of Medicine
Lecturer (part-time)
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Tokyo University of Science
Graduate School of Engineering
Lecturer (part-time)
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National Cancer Center Research Institute
Division of Cancer Therapeutics
Visiting Scientist
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Akita University
Graduate School of Medicine
Lecturer (part-time)
Homepage URL (2):
https://nshi.jp/
,
https://nshi.jp/en/
Research field (3):
Applied mathematics and statistics
, Basic mathematics
, Statistical science
Research keywords (7):
Biostatistics
, Survival analysis
, Meta analysis
, Diagnostic statistics
, Biomarker
, Clinical trial
, Bayesian inference
Research theme for competitive and other funds (18):
- 2023 - 2027 就労女性の性に関連する健康と労働生産性の実証研究
- 2024 - 2027 Development of in vitro diagnostics for precision medicine based on subtyping with pre-treatment biopsies of intractable esophageal cancer
- 2024 - 2027 Clinical development of blood biomarkers for malignant risk stratification from precancerous pancreatic lesions using estimation of pancreatic exocrine function
- 2023 - 2027 Research to promote public awareness for supporting women's physical and mental health toward improving the healthy life expectancy
- 2024 - 2026 Development of blood biomarkers for risk stratification in pancreatic cancer and colorectal cancer
- 2021 - 2025 Study for clinical development of precision medicine for esophageal cancer
- 2022 - 2024 Development of early detection biomarkers for gastroenterological cancer by antibody-based comprehensive screening
- 2021 - 2024 Clinical development of a diagnostic method for early-stage pancreatic cancer and risk factors for pancreatic cancer malignancy using a blood biomarker to evaluate a pancreatic exocrine function
- 2020 - 2023 胃癌の微量生検組織を用いたDNA修復能・がん抗原性解析による抗がん剤治療の最適化
- 2019 - 2022 情報通信技術を活用した子宮頸がん予防のヘルスリテラシー向上に関する研究
- 2019 - 2022 Statistical inference for random-effects meta-analyses under model misspecification
- 2019 - 2020 Statistical inference, prediction, and modeling for network meta-analysis
- 2017 - 2020 Practical research of blood biomarkers for predicting effects of postoperative adjuvant chemotherapies by metastatic activity analysis of non-small cell lung cancer
- 2018 - 2019 Practical application of efficient pancreatic cancer screening with plasma biomarker.
- 2017 - 2019 Developing blood biomarkers for evaluating risks of early stage cancer by protein and peptide modification analysis
- 2016 - 2019 Gender specific optimal chemotherapy
- 2016 - 2019 Statistical inference for rare event data and its application in clinical researches
- 2016 - 2017 Development of efficient screening method for early detection and risk stratification of pancreatic cancer
Show all
Papers (163):
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Hirokazu Shoji, Chie Kudo-Saito, Kengo Nagashima, Hiroshi Imazeki, Kai Tsugaru, Naoki Takahashi, Takeshi Kawakami, Yusuke Amanuma, Takeru Wakatsuki, Naohiro Okano, et al. Myeloid subsets impede the efficacy of anti-PD1 therapy in patients with advanced gastric cancer (WJOG10417GTR study). Journal for ImmunoTherapy of Cancer. 2024. 12. 11. e010174
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Emiko Matsuyama, Jun Miyata, Hideki Terai, Naoki Miyazaki, Toshiki Iwasaki, Kengo Nagashima, Mayuko Watase, Keeya Sunata, Ho Namkoong, Takanori Asakura, et al. Chronic obstructive pulmonary disease, asthma, and mechanical ventilation are risk factors for dyspnea in patients with long COVID: A Japanese nationwide cohort study. Respiratory Investigation. 2024. 62. 6. 1094-1101
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Masahiko Gosho, Ryota Ishii, Kengo Nagashima, Hisashi Noma, Kazushi Maruo. Determining the prior mean in Bayesian logistic regression with sparse data: a nonarbitrary approach. Journal of the Royal Statistical Society Series C: Applied Statistics. 2024
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Ruri Yamaguchi, Tetsuro Oda, Kengo Nagashima. Comparison of the diagnostic accuracy of shear wave elastography with transient elastography in adult nonalcoholic fatty liver disease: a systematic review and network meta-analysis of diagnostic test accuracy. Abdominal Radiology. 2024. In press
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Yuya Aotsuka, Sonoko Misawa, Tomoki Suichi, Kazumoto Shibuya, Keigo Nakamura, Hiroki Kano, Ryo Otani, Marie Morooka, Moeko Ogushi, Kengo Nagashima, et al. Multifocal motor neuropathy in Japan: A nationwide survey on prevalence, clinical profiles, and treatment. Muscle & Nerve. 2024. In press
more...
MISC (9):
Books (5):
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現代疫学 原著第4版
学術図書出版社 2024
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Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction
2023
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The Epidemiologist R Handbook.
2022
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Adaptive Design Methods in Clinical Trials, Second Edition
2018
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Applied Survival Analysis: Regression Modeling of Time-to-Event Data, 2nd Editon
2014 ISBN:9784130623124
Lectures and oral presentations (112):
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CIDP/抗MAG抗体関連ニューロパチー/MMN全国疫学調査 二次調査結果報告
(臨床神経学 2023)
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Development of an artificial intelligence algorithm for adjuvant chemotherapy based on a nationwide registry of patients with gastric cancer by the Japanese Gastric Cancer Association (JGCA).
(Journal of Clinical Oncology 2023)
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pimeta: Prediction Intervals for Random-Effects Meta-Analysis
(Evidence Synthesis and Meta-Analysis in R Conference (ESMARConf 2023) 2023)
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MOG抗体関連疾患の疫学と臨床像
(神経治療学 2023)
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CIDP/抗MAG抗体関連ニューロパチー/MMN全国疫学調査 一次調査結果報告
(末梢神経 2022)
more...
Works (6):
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R, RevGadgets Package
Carrie Tribble [aut, cre], Michael R. May [aut], William A. Freyman [aut], Michael J. Landis [aut], Lim Jun Ying [aut], Joelle Barido-Sottani [aut], Andrew Magee [aut], Bjorn Tore Kopperud [aut], Sebastian Hohna [aut], Nagashima Kengo [ctb], Schliep Klaus [ctb] 2021 -
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R, pimeta package
Kengo Nagashima 2017 -
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R, ph2bayes package
Kengo Nagashima 2016 -
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SAS, %skmdata macro
Kengo Nagashima 2015 -
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R, RcmdrPlugin.KMggplot2 package
Kengo NAGASHIMA 2011 -
more...
Education (4):
- 2011 - 2014 Tokyo University of Science (Ph.D.) Graduate School of Engineering
- 2006 - 2008 Tokyo University of Science (M.Sc.) Graduate School of Engineering
- 2002 - 2006 Tokyo University of Science (B.Sc.) Faculty of Engineering Division I Department of Management Science
- 1998 - 2001 埼玉県立浦和西高等学校 普通科
Professional career (1):
- Ph.D. (Tokyo University of Science)
Work history (14):
- 2024/04 - 現在 Akita University Graduate School of Medicine Lecturer (part-time)
- 2023/07 - 現在 National Cancer Center Research Institute Division of Cancer Therapeutics Visiting Scientist
- 2021/04 - 現在 Keio University Hospital Biostatistics Unit, Clinical and Translational Research Center Project Associate Professor
- 2021/04 - 現在 Nippon Medical School Lecturer (part-time)
- 2016/04 - 現在 Tokyo University of Science Graduate School of Engineering Lecturer (part-time)
- 2021/04 - 2023/03 The Institute of Statistical Mathematics Research Center for Medical and Health Data Science Visiting Associate Professor
- 2021/11 - 2022/10 National Cancer Center Research Institute Department of Translational Oncology Visiting Scientist
- 2019/09 - 2021/08 National Cancer Center Research Institute Department of Biomarkers for the Early Detection of Cancer Visiting Scientist
- 2019/04 - 2021/03 Keio University School of Medicine Lecturer (part-time)
- 2018/11 - 2021/03 Keio University School of Medicine Visiting Associate Professor
- 2018/04 - 2021/03 The Institute of Statistical Mathematics Research Center for Medical and Health Data Science Project Associate Professor
- 2015/04 - 2018/03 Chiba University Department of Global Clinical Research, Graduate School Medicine Research Assistant Professor
- 2013/04 - 2015/03 Chiba University Hospital Clinical Research Center Research Assistant Professor
- 2008/04 - 2013/03 Josai University Faculty of Pharmaceutical Sciences Department of Pharmaceutical Research Associate
Show all
Committee career (7):
Association Membership(s) (5):
日本疫学会
, American Statistical Association
, 日本統計学会
, 日本計量生物学会
, The International Biometric Society
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