1 citations · 2 across the 11 of their papers we have counts for
11 papers
Association measures for two-way contingency tables based on multi-categorical proportional reduction in error
Wataru Urasaki, Kouji Tahata, Sadao Tomizawa
In two-way contingency tables under an asymmetric situation, where the row and column variables are defined as explanatory and response variables, respectively, quantifying the ext…
A measure of departure from symmetry via the Fisher-Rao distance for contingency tables
Wataru Urasaki, Go Kawamitsu, Tomoyuki Nakagawa +1
A measure of asymmetry is a quantification method that allows for the comparison of categorical evaluations before and after treatment effects or among different target populations…
Visualization for departures from symmetry with the power-divergence-type measure in two-way contingency tables
Wataru Urasaki, Tomoyuki Nakagawa, Jun Tsuchida +1
When the row and column variables consist of the same category in a two-way contingency table, it is specifically called a square contingency table. Since it is clear that the squa…
Optimal Bayesian predictive probability for delayed response in single-arm clinical trials with binary efficacy outcome
Takuya Yoshimoto, Satoru Shinoda, Kouji Yamamoto +1
In oncology, phase II or multiple expansion cohort trials are crucial for clinical development plans. This is because they aid in identifying potent agents with sufficient activity…
Modeling asymmetry in multi-way contingency tables with ordinal categories via f-divergence
Hisaya Okahara, Kouji Tahata
This study introduces a novel model that effectively captures asymmetric structures in multivariate contingency tables with ordinal categories. Leveraging the principle of maximum…
A generalized ordinal quasi-symmetry model and its separability for analyzing multi-way tables
Hisaya Okahara, Kouji Tahata
This paper addresses the challenge of modeling multi-way contingency tables for matched set data with ordinal categories. Although the complete symmetry and marginal homogeneity mo…
Geometric Mean Type of Proportional Reduction in Variation Measure for Two-Way Contingency Tables
Wataru Urasaki, Yuki Wada, Tomoyuki Nakagawa +2
In a two-way contingency table analysis with explanatory and response variables, the analyst is interested in the independence of the two variables. However, if the test of indepen…
Visualizing departures from marginal homogeneity for square contingency tables with ordered categories
Satoru Shinoda, Takuya Yoshimoto, Kouji Tahata
Square contingency tables are a special case commonly used in various fields to analyze categorical data. Although several analysis methods have been developed to examine marginal…
Diagonals-parameter symmetry model and its property for square contingency tables with ordinal categories
Kouji Tahata, Kohei Matsuda
Previously, the diagonals-parameter symmetry model based on -divergence (denoted by DPS[]) was reported to be equivalent to the diagonals-parameter symmetry model regardless…
Bayesian predictive probability based on a bivariate index vector for single-arm phase II study with binary efficacy and safety endpoints
Takuya Yoshimoto, Satoru Shinoda, Kouji Yamamoto +1
In oncology, phase II studies are crucial for clinical development plans as such studies identify potent agents with sufficient activity to continue development in the subsequent p…
Test for symmetry in contingency tables with nonignorable nonresponses
Kouji Tahata, Yusuke Ii, Takahiro Nishiyama
The McNemar test evaluates the hypothesis that two correlated proportion is common in contingency tables with the same categories. This study discusses a test for symm…