A
Asanao Shimokawa
Researcher at Tokyo University of Science
Publications - 14
Citations - 205
Asanao Shimokawa is an academic researcher from Tokyo University of Science. The author has contributed to research in topics: Proportional hazards model & Bayesian inference. The author has an hindex of 4, co-authored 13 publications receiving 164 citations.
Papers
More filters
Journal ArticleDOI
A combination of TERT promoter mutation and MGMT methylation status predicts clinically relevant subgroups of newly diagnosed glioblastomas
Hideyuki Arita,Hideyuki Arita,Kai Yamasaki,Yuko Matsushita,Taishi Nakamura,Taishi Nakamura,Asanao Shimokawa,Hirokazu Takami,Hirokazu Takami,Shota Tanaka,Akitake Mukasa,Mitsuaki Shirahata,Saki Shimizu,Kaori Suzuki,Kuniaki Saito,Keiichi Kobayashi,Fumi Higuchi,Takeo Uzuka,Ryohei Otani,Kaoru Tamura,Kazutaka Sumita,Makoto Ohno,Yasuji Miyakita,Naoki Kagawa,Naoya Hashimoto,Ryusuke Hatae,Koji Yoshimoto,Naoki Shinojima,Hideo Nakamura,Yonehiro Kanemura,Yoshiko Okita,Manabu Kinoshita,Kenichi Ishibashi,Tomoko Shofuda,Yoshinori Kodama,Kanji Mori,Yusuke Tomogane,Junya Fukai,Koji Fujita,Yuzo Terakawa,Naohiro Tsuyuguchi,Shusuke Moriuchi,Masahiro Nonaka,Hiroyoshi Suzuki,Makoto Shibuya,Taketoshi Maehara,Nobuhito Saito,Motoo Nagane,Nobutaka Kawahara,Keisuke Ueki,Toshiki Yoshimine,Etsuo Miyaoka,Ryo Nishikawa,Takashi Komori,Yoshitaka Narita,Koichi Ichimura +55 more
TL;DR: The findings suggest that a combination of IDH, TERT, and MGMT refines the classification of grade II-IV diffuse gliomas, and patients with TERT mutant-MGMT unmethylated GBM have the poorest prognosis.
Journal ArticleDOI
Comparison of splitting methods on survival tree.
TL;DR: This work compares splitting methods for constructing survival trees that are used as a model of survival time based on covariates and presents the results of an actual medical research to show the utility of survival trees.
Journal ArticleDOI
Comparison of Three Calculation Methods for a Bayesian Inference of P(π1 > π2)
TL;DR: In this article, an approximate method and the MCMCMCMC method are compared with an exact method for θ, and results of actual clinical trials using θ are presented.
Journal ArticleDOI
On the Bayesian Index of Superiority and the p-Value of the Fisher Exact Test for Binomial Proportions
Journal ArticleDOI
Construction of a survival tree for dependent censoring.
Asanao Shimokawa,Etsuo Miyaoka +1 more
TL;DR: This study examined the problem of constructing a model for time-to-event data considering dependent censoring and proposed a method for constructing the tree-structured model through the test statistics, and evaluated the performance of the splitting rule and tree obtained.