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Tomohiro Ohigashi

Showing results (1-10 of 29) with videos related to

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Plos One|November 20, 2018
SignalDetDDI: An SAS macro for detecting adverse drug-drug interactions in spontaneous reporting systemsMasahiko Gosho, Tomohiro Ohigashi, Kazushi Maruo
Statistics in Medicine|December 15, 2025
Dynamic Prediction of Analysis Timing in Clinical Trials Using Joint Models of Longitudinal and Time-to-Event DataRyunosuke Machida, Kentaro Sakamaki, Tomohiro Ohigashi, et al.
Biometrics|September 2, 2025
Nonparametric Bayesian approach for dynamic borrowing of historical control dataTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Statistics in Medicine|February 10, 2026
Sample Size Re-Estimation in Blinded Hybrid-Control Design Using Inverse Probability WeightingMasahiro Kojima, Shunichiro Orihara, Keisuke Hanada, et al.
Statistical Methods in Medical Research|April 5, 2022
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trialsTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Frontiers in Pharmacology|January 31, 2024
Multivariate generalized mixed-effects models for screening multiple adverse drug reactions in spontaneous reporting systemsMasahiko Gosho, Ryota Ishii, Tomohiro Ohigashi, et al.
BMC Medical Research Methodology|November 13, 2024
geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimatorsRyota Ishii, Tomohiro Ohigashi, Kazushi Maruo, et al.
Pharmaceutical Statistics|November 17, 2024
Potential Bias Models With Bayesian Shrinkage Priors for Dynamic Borrowing of Multiple Historical Control DataTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Journal of Epidemiology|September 27, 2021
Bias in Odds Ratios From Logistic Regression Methods With Sparse Data SetsMasahiko Gosho, Tomohiro Ohigashi, Kengo Nagashima, et al.
Journal of Biopharmaceutical Statistics|October 30, 2024
Small sample adjustment for inference without assuming orthogonality in a mixed model for repeated measures analysisKazushi Maruo, Ryota Ishii, Yusuke Yamaguchi, et al.
Pageof 3

Showing results (1-10 of 29) with videos related to

Sort By:
Pageof 3
Plos One|November 20, 2018
SignalDetDDI: An SAS macro for detecting adverse drug-drug interactions in spontaneous reporting systemsMasahiko Gosho, Tomohiro Ohigashi, Kazushi Maruo
Statistics in Medicine|December 15, 2025
Dynamic Prediction of Analysis Timing in Clinical Trials Using Joint Models of Longitudinal and Time-to-Event DataRyunosuke Machida, Kentaro Sakamaki, Tomohiro Ohigashi, et al.
Biometrics|September 2, 2025
Nonparametric Bayesian approach for dynamic borrowing of historical control dataTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Statistics in Medicine|February 10, 2026
Sample Size Re-Estimation in Blinded Hybrid-Control Design Using Inverse Probability WeightingMasahiro Kojima, Shunichiro Orihara, Keisuke Hanada, et al.
Statistical Methods in Medical Research|April 5, 2022
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trialsTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Frontiers in Pharmacology|January 31, 2024
Multivariate generalized mixed-effects models for screening multiple adverse drug reactions in spontaneous reporting systemsMasahiko Gosho, Ryota Ishii, Tomohiro Ohigashi, et al.
BMC Medical Research Methodology|November 13, 2024
geessbin: an R package for analyzing small-sample binary data using modified generalized estimating equations with bias-adjusted covariance estimatorsRyota Ishii, Tomohiro Ohigashi, Kazushi Maruo, et al.
Pharmaceutical Statistics|November 17, 2024
Potential Bias Models With Bayesian Shrinkage Priors for Dynamic Borrowing of Multiple Historical Control DataTomohiro Ohigashi, Kazushi Maruo, Takashi Sozu, et al.
Journal of Epidemiology|September 27, 2021
Bias in Odds Ratios From Logistic Regression Methods With Sparse Data SetsMasahiko Gosho, Tomohiro Ohigashi, Kengo Nagashima, et al.
Journal of Biopharmaceutical Statistics|October 30, 2024
Small sample adjustment for inference without assuming orthogonality in a mixed model for repeated measures analysisKazushi Maruo, Ryota Ishii, Yusuke Yamaguchi, et al.
Pageof 3