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Sean McGrath

Showing results (1-10 of 58) with videos related to

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Research Synthesis Methods|February 2, 2026
CausalMetaR: An R package for performing causally interpretable meta-analysesGuanbo Wang, Sean McGrath, Yi Lian
Research Synthesis Methods|February 2, 2026
CausalMetaR: An R package for performing causally interpretable meta-analyses - ERRATUMGuanbo Wang, Sean McGrath, Yi Lian
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
Biometrical Journal. Biometrische Zeitschrift|September 26, 2019
Meta-analysis of the difference of mediansSean McGrath, Hojoon Sohn, Russell Steele, et al.
PDA Journal of Pharmaceutical Science and Technology|May 14, 2025
Application of Modeling as a Tool for Early Derisking of Parenteral Delivery, from the Primary Container to the TissueLudovic Gil, Christopher Basciano, Sean McGrath, et al.
Epidemiology (Cambridge, Mass.)|October 29, 2021
Revisiting the g-null ParadoxSean McGrath, Jessica G Young, Miguel A Hernán
BMC Medical Research Methodology|December 20, 2024
Addressing treatment switching in the ALTA-1L trial with g-methods: exploring the impact of model specificationAmani Al Tawil, Sean McGrath, Robin Ristl, et al.
The Science of the Total Environment|October 7, 2023
Wildfire exposure and academic performance in Brazil: A causal inference approach for spatiotemporal dataSean McGrath, Rajarshi Mukherjee, Weeberb J Réquia, et al.
Statistics in Medicine|November 22, 2018
One-sample aggregate data meta-analysis of mediansSean McGrath, XiaoFei Zhao, Zhi Zhen Qin, et al.
Statistical Methods in Medical Research|April 16, 2020
Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysisSean McGrath, XiaoFei Zhao, Russell Steele, et al.
Pageof 6

Showing results (1-10 of 58) with videos related to

Sort By:
Pageof 6
Research Synthesis Methods|February 2, 2026
CausalMetaR: An R package for performing causally interpretable meta-analysesGuanbo Wang, Sean McGrath, Yi Lian
Research Synthesis Methods|February 2, 2026
CausalMetaR: An R package for performing causally interpretable meta-analyses - ERRATUMGuanbo Wang, Sean McGrath, Yi Lian
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
Biometrical Journal. Biometrische Zeitschrift|September 26, 2019
Meta-analysis of the difference of mediansSean McGrath, Hojoon Sohn, Russell Steele, et al.
PDA Journal of Pharmaceutical Science and Technology|May 14, 2025
Application of Modeling as a Tool for Early Derisking of Parenteral Delivery, from the Primary Container to the TissueLudovic Gil, Christopher Basciano, Sean McGrath, et al.
Epidemiology (Cambridge, Mass.)|October 29, 2021
Revisiting the g-null ParadoxSean McGrath, Jessica G Young, Miguel A Hernán
BMC Medical Research Methodology|December 20, 2024
Addressing treatment switching in the ALTA-1L trial with g-methods: exploring the impact of model specificationAmani Al Tawil, Sean McGrath, Robin Ristl, et al.
The Science of the Total Environment|October 7, 2023
Wildfire exposure and academic performance in Brazil: A causal inference approach for spatiotemporal dataSean McGrath, Rajarshi Mukherjee, Weeberb J Réquia, et al.
Statistics in Medicine|November 22, 2018
One-sample aggregate data meta-analysis of mediansSean McGrath, XiaoFei Zhao, Zhi Zhen Qin, et al.
Statistical Methods in Medical Research|April 16, 2020
Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysisSean McGrath, XiaoFei Zhao, Russell Steele, et al.
Pageof 6