Tsuchida Jun

Tsuchida Jun

Doshisha University

H-index: 2

Asia-Japan

About Tsuchida Jun

Tsuchida Jun, With an exceptional h-index of 2 and a recent h-index of 2 (since 2020), a distinguished researcher at Doshisha University, specializes in the field of Statistics, Dimensional Reduction, Multidimensional Scaling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Bayesian Geographically Weighted Regression using Fused Lasso Prior

Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects

Analysis of Contingency Table by Two-Mode Two-Way Multidimensional Scaling with Bayesian Estimation

Copula-based model for incorporating single-agent historical data into dual-agent phase I cancer trials

Canonical Dependency Analysis Using a Bias-Corrected Statistics Matrix

Flexible use of copula‐type model for dose‐finding in drug combination clinical trials

A test for treatment effects based on the exact distribution of an ordinary least-square estimator in sequential parallel comparison design

F-measure maximizing logistic regression

Tsuchida Jun Information

University

Position

___

Citations(all)

23

Citations(since 2020)

21

Cited By

8

hIndex(all)

2

hIndex(since 2020)

2

i10Index(all)

0

i10Index(since 2020)

0

Email

University Profile Page

Doshisha University

Google Scholar

View Google Scholar Profile

Tsuchida Jun Skills & Research Interests

Statistics

Dimensional Reduction

Multidimensional Scaling

Top articles of Tsuchida Jun

Title

Journal

Author(s)

Publication Date

Bayesian Geographically Weighted Regression using Fused Lasso Prior

arXiv preprint arXiv:2402.18186

Toshiki Sakai

Jun Tsuchida

Hiroshi Yadohisa

2024/2/28

Quantile Outcome Adaptive Lasso: Covariate Selection for Inverse Probability Weighting Estimator of Quantile Treatment Effects

arXiv preprint arXiv:2402.18185

Takehiro Shoji

Jun Tsuchida

Hiroshi Yadohisa

2024/2/28

Analysis of Contingency Table by Two-Mode Two-Way Multidimensional Scaling with Bayesian Estimation

Jun Tsuchida

Hiroshi Yadohisa

2024/1/26

Copula-based model for incorporating single-agent historical data into dual-agent phase I cancer trials

Statistics in Biopharmaceutical Research

Koichi Hashizume

Jun Tsuchida

Takashi Sozu

2024/1/2

Canonical Dependency Analysis Using a Bias-Corrected Statistics Matrix

Journal of Statistical Theory and Practice

Jun Tsuchida

Hiroshi Yadohisa

2024/3

Flexible use of copula‐type model for dose‐finding in drug combination clinical trials

Biometrics

Koichi Hashizume

Jun Tshuchida

Takashi Sozu

2022/12

A test for treatment effects based on the exact distribution of an ordinary least-square estimator in sequential parallel comparison design

Statistics in Biopharmaceutical Research

Jun Tsuchida

Yu Miyauchi

Shuji Ando

Takashi Sozu

2022/8/3

F-measure maximizing logistic regression

Communications in Statistics-Simulation and Computation

Masaaki Okabe

Jun Tsuchida

Hiroshi Yadohisa

2022/5/25

Tucker-3 decomposition with sparse core array using a penalty function based on Gini-index

Japanese Journal of Statistics and Data Science

Jun Tsuchida

Hiroshi Yadohisa

2022/12

K-means generalized maximum entropy estimation for structural equation modeling

Behaviormetrika

Thi Binh An Duong

Jun Tsuchida

Hiroshi Yadohisa

2021/1

Matrix decomposition in meta‐analysis for extraction of adverse event pattern and patient‐level safety profile

Pharmaceutical statistics

Kentaro Matsuura

Jun Tsuchida

Shuji Ando

Takashi Sozu

2021/7

Sample size determination in phase I oncology trials based on selection probability of the maximum tolerated dose

Japanese Journal of Biometrics Vol

Yuta Kawatsu

Jun Tsuchida

Shuji Ando

Akihiro Hirakawa

Takashi Sozu

2021

An estimation of causal structure based on Latent LiNGAM for mixed data

Behaviormetrika

Mako Yamayoshi

Jun Tsuchida

Hiroshi Yadohisa

2020/1

See List of Professors in Tsuchida Jun University(Doshisha University)