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Shonosuke Sugasawa

Showing results (1-10 of 14) with videos related to

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Entropy (Basel, Switzerland)|December 8, 2020
Robust Bayesian Regression with Synthetic Posterior DistributionsShintaro Hashimoto, Shonosuke Sugasawa
Biometrical Journal. Biometrische Zeitschrift|May 11, 2022
Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modelingShonosuke Sugasawa, Hisashi Noma
Biometrics|July 12, 2022
Grouped generalized estimating equations for longitudinal data analysisTsubasa Ito, Shonosuke Sugasawa
Biometrics|April 16, 2020
Efficient screening of predictive biomarkers for individual treatment selectionShonosuke Sugasawa, Hisashi Noma
Biostatistics (Oxford, England)|June 20, 2019
A unified method for improved inference in random effects meta-analysisShonosuke Sugasawa, Hisashi Noma
Entropy (Basel, Switzerland)|September 28, 2021
On Selection Criteria for the Tuning Parameter in Robust DivergenceShonosuke Sugasawa, Shouto Yonekura
Statistics in Medicine|August 29, 2019
Estimating individual treatment effects by gradient boosting treesShonosuke Sugasawa, Hisashi Noma
Biometrics|November 28, 2025
Flexible Bayesian quantile regression for counts via generative modelingYuta Yamauchi, Genya Kobayashi, Shonosuke Sugasawa
Statistics in Medicine|June 20, 2024
Robust inference methods for meta-analysis involving influential outlying studiesHisashi Noma, Shonosuke Sugasawa, Toshi A Furukawa
Bioscience Trends|May 29, 2020
Predicting intervention effect for COVID-19 in Japan: state space modeling approachGenya Kobayashi, Shonosuke Sugasawa, Hiromasa Tamae, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Entropy (Basel, Switzerland)|December 8, 2020
Robust Bayesian Regression with Synthetic Posterior DistributionsShintaro Hashimoto, Shonosuke Sugasawa
Biometrical Journal. Biometrische Zeitschrift|May 11, 2022
Efficient testing and effect size estimation for set-based genetic association inference via semiparametric multilevel mixture modelingShonosuke Sugasawa, Hisashi Noma
Biometrics|July 12, 2022
Grouped generalized estimating equations for longitudinal data analysisTsubasa Ito, Shonosuke Sugasawa
Biometrics|April 16, 2020
Efficient screening of predictive biomarkers for individual treatment selectionShonosuke Sugasawa, Hisashi Noma
Biostatistics (Oxford, England)|June 20, 2019
A unified method for improved inference in random effects meta-analysisShonosuke Sugasawa, Hisashi Noma
Entropy (Basel, Switzerland)|September 28, 2021
On Selection Criteria for the Tuning Parameter in Robust DivergenceShonosuke Sugasawa, Shouto Yonekura
Statistics in Medicine|August 29, 2019
Estimating individual treatment effects by gradient boosting treesShonosuke Sugasawa, Hisashi Noma
Biometrics|November 28, 2025
Flexible Bayesian quantile regression for counts via generative modelingYuta Yamauchi, Genya Kobayashi, Shonosuke Sugasawa
Statistics in Medicine|June 20, 2024
Robust inference methods for meta-analysis involving influential outlying studiesHisashi Noma, Shonosuke Sugasawa, Toshi A Furukawa
Bioscience Trends|May 29, 2020
Predicting intervention effect for COVID-19 in Japan: state space modeling approachGenya Kobayashi, Shonosuke Sugasawa, Hiromasa Tamae, et al.
Pageof 2