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Takuya Kawahara

Showing results (1-10 of 124) with videos related to

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BMC Medical Research Methodology|October 3, 2022
Statistical methods and graphical displays of quality of life with survival outcomes in oncology clinical trials for supporting the estimand frameworkKentaro Sakamaki, Takuya Kawahara
Journal of Epidemiology|June 14, 2021
Using Propensity Scores for Causal Inference: Pitfalls and TipsKoichiro Shiba, Takuya Kawahara
Intensive Care Medicine|May 4, 2023
Publication hyper-inflation in the field of intensive careYusuke Tsutsumi, Asuka Tsuchiya, Takuya Kawahara
BMC Medical Research Methodology|August 2, 2020
Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatinTakuya Kawahara, Tomohiro Shinozaki, Yutaka Matsuyama
World Neurosurgery|May 4, 2022
Application of Causal Inference Methods in the Analysis of Observational Neurosurgical Data: G-Formula and Marginal Structural ModelTakuya Kawahara, Koichiro Shiba, Asuka Tsuchiya
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|September 17, 2020
What Is a Valid Mapping Algorithm in Cost-Utility Analyses? A Response From a Missing Data PerspectiveYasuhiro Hagiwara, Takuya Kawahara, Takeru Shiroiwa
Statistics in Medicine|April 24, 2026
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment MechanismsTakuya Kawahara, Sean McGrath, Jessica G Young
Organic Letters|September 22, 2006
Rhodium-catalyzed reaction of terminal alkynes with allylamine leading to (E)-3-alkylidene N-heterocyclesYoshiya Fukumoto, Fuyuko Kinashi, Takuya Kawahara, et al.
Journal of Epidemiology|May 6, 2026
Beyond the Hazard Ratio: Causal Inference from Time-to-Event Data with Dependent Censoring, Confounding, and Competing RisksTakuya Kawahara, Sho Komukai, Kosuke Inoue, et al.
Biometrical Journal. Biometrische Zeitschrift|October 26, 2019
Simple methods for the estimation and sensitivity analysis of principal strata effects using marginal structural models: Application to a bone fracture prevention trialYukari Uemura, Masataka Taguri, Takuya Kawahara, et al.
Pageof 13

Showing results (1-10 of 124) with videos related to

Sort By:
Pageof 13
BMC Medical Research Methodology|October 3, 2022
Statistical methods and graphical displays of quality of life with survival outcomes in oncology clinical trials for supporting the estimand frameworkKentaro Sakamaki, Takuya Kawahara
Journal of Epidemiology|June 14, 2021
Using Propensity Scores for Causal Inference: Pitfalls and TipsKoichiro Shiba, Takuya Kawahara
Intensive Care Medicine|May 4, 2023
Publication hyper-inflation in the field of intensive careYusuke Tsutsumi, Asuka Tsuchiya, Takuya Kawahara
BMC Medical Research Methodology|August 2, 2020
Doubly robust estimator of risk in the presence of censoring dependent on time-varying covariates: application to a primary prevention trial for coronary events with pravastatinTakuya Kawahara, Tomohiro Shinozaki, Yutaka Matsuyama
World Neurosurgery|May 4, 2022
Application of Causal Inference Methods in the Analysis of Observational Neurosurgical Data: G-Formula and Marginal Structural ModelTakuya Kawahara, Koichiro Shiba, Asuka Tsuchiya
Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research|September 17, 2020
What Is a Valid Mapping Algorithm in Cost-Utility Analyses? A Response From a Missing Data PerspectiveYasuhiro Hagiwara, Takuya Kawahara, Takeru Shiroiwa
Statistics in Medicine|April 24, 2026
Illustrating Implications of Misaligned Causal Questions and Statistics in Settings With Competing Events and Interest in Treatment MechanismsTakuya Kawahara, Sean McGrath, Jessica G Young
Organic Letters|September 22, 2006
Rhodium-catalyzed reaction of terminal alkynes with allylamine leading to (E)-3-alkylidene N-heterocyclesYoshiya Fukumoto, Fuyuko Kinashi, Takuya Kawahara, et al.
Journal of Epidemiology|May 6, 2026
Beyond the Hazard Ratio: Causal Inference from Time-to-Event Data with Dependent Censoring, Confounding, and Competing RisksTakuya Kawahara, Sho Komukai, Kosuke Inoue, et al.
Biometrical Journal. Biometrische Zeitschrift|October 26, 2019
Simple methods for the estimation and sensitivity analysis of principal strata effects using marginal structural models: Application to a bone fracture prevention trialYukari Uemura, Masataka Taguri, Takuya Kawahara, et al.
Pageof 13