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Jean Morrison
Noah Simon

Showing results (11-20 of 102) with videos related to

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Biostatistics (Oxford, England)|October 26, 2022
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networksAliasghar Tarkhan, Noah Simon
Proceedings of Machine Learning Research|January 8, 2021
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine LearningYunhua Xiang, Noah Simon
Biostatistics (Oxford, England)|May 19, 2017
Using Bayesian modeling in frequentist adaptive enrichment designsNoah Simon, Richard Simon
Biostatistics (Oxford, England)|October 3, 2017
A framework for estimating and testing qualitative interactions with applications to predictive biomarkersJeremy Roth, Noah Simon
Journal of Biopharmaceutical Statistics|July 16, 2019
Finding the intended use population for a new treatmentRichard Simon, Noah Simon
Annals of Statistics|January 3, 2024
A SIEVE STOCHASTIC GRADIENT DESCENT ESTIMATOR FOR ONLINE NONPARAMETRIC REGRESSION IN SOBOLEV ELLIPSOIDSTianyu Zhang, Noah Simon
Medrxiv : the Preprint Server for Health Sciences|August 6, 2025
Mind the gap: characterizing bias due to population mismatch in two-sample Mendelian randomizationJack Li, Jean Morrison
American Journal of Human Genetics|March 8, 2026
Mind the gap: Characterizing bias due to population mismatch in two-sample Mendelian randomizationJack Li, Jean Morrison
International Journal of Epidemiology|May 8, 2026
Estimating causal effects of C-reactive protein on disease and health outcomes using multivariable Mendelian randomization adjusting for heritable confoundingRuoyao Shi, Jean Morrison
Medrxiv : the Preprint Server for Health Sciences|May 4, 2026
Widespread genetic effect heterogeneity impacts bias and power in nonlinear Mendelian randomizationJiongming Wang, Jean Morrison
Pageof 11

Showing results (11-20 of 102) with videos related to

Sort By:
Pageof 11
Biostatistics (Oxford, England)|October 26, 2022
An online framework for survival analysis: reframing Cox proportional hazards model for large data sets and neural networksAliasghar Tarkhan, Noah Simon
Proceedings of Machine Learning Research|January 8, 2021
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine LearningYunhua Xiang, Noah Simon
Biostatistics (Oxford, England)|May 19, 2017
Using Bayesian modeling in frequentist adaptive enrichment designsNoah Simon, Richard Simon
Biostatistics (Oxford, England)|October 3, 2017
A framework for estimating and testing qualitative interactions with applications to predictive biomarkersJeremy Roth, Noah Simon
Journal of Biopharmaceutical Statistics|July 16, 2019
Finding the intended use population for a new treatmentRichard Simon, Noah Simon
Annals of Statistics|January 3, 2024
A SIEVE STOCHASTIC GRADIENT DESCENT ESTIMATOR FOR ONLINE NONPARAMETRIC REGRESSION IN SOBOLEV ELLIPSOIDSTianyu Zhang, Noah Simon
Medrxiv : the Preprint Server for Health Sciences|August 6, 2025
Mind the gap: characterizing bias due to population mismatch in two-sample Mendelian randomizationJack Li, Jean Morrison
American Journal of Human Genetics|March 8, 2026
Mind the gap: Characterizing bias due to population mismatch in two-sample Mendelian randomizationJack Li, Jean Morrison
International Journal of Epidemiology|May 8, 2026
Estimating causal effects of C-reactive protein on disease and health outcomes using multivariable Mendelian randomization adjusting for heritable confoundingRuoyao Shi, Jean Morrison
Medrxiv : the Preprint Server for Health Sciences|May 4, 2026
Widespread genetic effect heterogeneity impacts bias and power in nonlinear Mendelian randomizationJiongming Wang, Jean Morrison
Pageof 11