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20232026
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7 papers · 1 filter

stat.ME2026

Modification and extension of the Bayesian clinical trial design using external data for single-arm and hybrid-controlled trials

Wataru Murasaki, Tomohiro Ohigashi, Ryota Ishii +2

Limited patient availability complicates sample size determination in pediatric clinical trials. Although Bayesian methods incorporating external data offer a solution, rigorously…

stat.ME2026

Posterior Quantification of Borrowing from Multiple Historical Control Data in Bayesian Dynamic Borrowing Methods: A Scoping Review

Tomohiro Ohigashi, Wataru Murasaki, Masahiko Gosho

Bayesian dynamic borrowing methods incorporate historical control data into current clinical trial analyses while allowing the degree of borrowing to depend on the compatibility be…

stat.ME2026

Efficient Bayesian Inference in the Cox Model via Rank-Ordered Likelihood

Tomohiro Ohigashi, Shunichiro Orihara, Shonosuke Sugasawa

In Bayesian inference for the Cox proportional hazards model, modeling the baseline hazard function is challenging. Recently, direct Bayesian inference using the partial likelihood…

stat.ME2025

Efficient Prior Sensitivity and Tipping-point Analysis for Medical Research: Revisiting Sampling Importance Resampling

Tomohiro Ohigashi, Shonosuke Sugasawa

Bayesian methods have received increasing attention in medical research, where sensitivity analysis of prior distributions is essential. Such analyses typically require the evaluat…

stat.ME2025

Sample size re-estimation in blinded hybrid-control design using inverse probability weighting

Masahiro Kojima, Shunichiro Orihara, Keisuke Hanada +1

With the increasing availability of data from historical studies and real-world data sources, hybrid control designs that incorporate external data into the evaluation of current s…

stat.ME20241 cited

Nonparametric Bayesian approach for dynamic borrowing of historical control data

Tomohiro Ohigashi, Kazushi Maruo, Takashi Sozu +1

When incorporating historical control data into the analysis of current randomized controlled trial data, it is critical to account for differences between the datasets. When the c…