4 papers
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…
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…
Evaluating marginal likelihood approximations of dose-response relationship models in Bayesian benchmark dose methods for risk assessment
Sota Minewaki, Tomohiro Ohigashi, Takashi Sozu
Benchmark dose (BMD; a dose associated with a specified change in response) is used to determine the point of departure for the acceptable daily intake of substances for humans. Mu…
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…