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Oleg Sofrygin

Showing results (1-10 of 41) with videos related to

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Journal of Machine Learning Research : JMLR|March 13, 2024
Adversarial Monte Carlo Meta-Learning of Optimal Prediction ProceduresAlex Luedtke, Incheoul Chung, Oleg Sofrygin
Journal of Causal Inference|October 24, 2017
Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected PopulationOleg Sofrygin, Mark J van der Laan
Statistics in Medicine|August 11, 2018
Comparing predictive abilities of longitudinal child growth modelsCraig Anderson, Ryan Hafen, Oleg Sofrygin, et al.
Science Advances|March 14, 2020
Learning to learn from data: Using deep adversarial learning to construct optimal statistical proceduresAlex Luedtke, Marco Carone, Noah Simon, et al.
Journal of Statistical Software|November 7, 2017
simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal DataOleg Sofrygin, Mark J van der Laan, Romain Neugebauer
Breast Cancer Research and Treatment|July 27, 2007
Cost-effectiveness of letrozole versus tamoxifen as initial adjuvant therapy in postmenopausal women with hormone-receptor positive early breast cancer from a Canadian perspectiveThomas E Delea, Khalid El-Ouagari, Jonathan Karnon, et al.
Journal of the American Statistical Association|September 17, 2021
Complier stochastic direct effects: identification and robust estimationKara E Rudolph, Oleg Sofrygin, Mark J van der Laan
Clinical Breast Cancer|August 14, 2010
Cost-effectiveness of zoledronic acid plus endocrine therapy in premenopausal women with hormone-responsive early breast cancerThomas E Delea, Charu Taneja, Oleg Sofrygin, et al.
Vaccine|June 27, 2009
Cost of routine immunization of young children against rotavirus infection with Rotarix versus RotaTeqDerek Weycker, Oleg Sofrygin, Jason E Kemner, et al.
Epidemiologic Methods|May 24, 2021
Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial SettingKara E Rudolph, Oleg Sofrygin, Wenjing Zheng, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Journal of Machine Learning Research : JMLR|March 13, 2024
Adversarial Monte Carlo Meta-Learning of Optimal Prediction ProceduresAlex Luedtke, Incheoul Chung, Oleg Sofrygin
Journal of Causal Inference|October 24, 2017
Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected PopulationOleg Sofrygin, Mark J van der Laan
Statistics in Medicine|August 11, 2018
Comparing predictive abilities of longitudinal child growth modelsCraig Anderson, Ryan Hafen, Oleg Sofrygin, et al.
Science Advances|March 14, 2020
Learning to learn from data: Using deep adversarial learning to construct optimal statistical proceduresAlex Luedtke, Marco Carone, Noah Simon, et al.
Journal of Statistical Software|November 7, 2017
simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal DataOleg Sofrygin, Mark J van der Laan, Romain Neugebauer
Breast Cancer Research and Treatment|July 27, 2007
Cost-effectiveness of letrozole versus tamoxifen as initial adjuvant therapy in postmenopausal women with hormone-receptor positive early breast cancer from a Canadian perspectiveThomas E Delea, Khalid El-Ouagari, Jonathan Karnon, et al.
Journal of the American Statistical Association|September 17, 2021
Complier stochastic direct effects: identification and robust estimationKara E Rudolph, Oleg Sofrygin, Mark J van der Laan
Clinical Breast Cancer|August 14, 2010
Cost-effectiveness of zoledronic acid plus endocrine therapy in premenopausal women with hormone-responsive early breast cancerThomas E Delea, Charu Taneja, Oleg Sofrygin, et al.
Vaccine|June 27, 2009
Cost of routine immunization of young children against rotavirus infection with Rotarix versus RotaTeqDerek Weycker, Oleg Sofrygin, Jason E Kemner, et al.
Epidemiologic Methods|May 24, 2021
Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial SettingKara E Rudolph, Oleg Sofrygin, Wenjing Zheng, et al.
Pageof 5