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Illustrating implications of misaligned causal questions and statistics in settings with competing events and interest in treatment mechanisms
Takuya Kawahara, Sean McGrath, Jessica G Young
In the presence of competing events, many investigators are interested in a direct treatment effect on the event of interest that does not capture treatment effects on competing ev…
Time-smoothed inverse probability weighted estimation of effects of generalized time-varying treatment strategies on repeated outcomes truncated by death
Sean McGrath, Takuya Kawahara, Joshua Petimar +4
Researchers are often interested in estimating effects of generalized time-varying treatment strategies on the mean of an outcome at one or more selected follow-up times of interes…
A Tutorial on Conducting Mediation Analysis with Exposure Mixtures
Yiran Wang, Yi-Ting Lin, Sean McGrath +4
Causal mediation analysis is a powerful tool in environmental health research, allowing researchers to uncover the pathways through which exposures influence health outcomes. While…
LEARNER: A Transfer Learning Method for Low-Rank Matrix Estimation
Sean McGrath, Cenhao Zhu, Ryan O'Dea +2
Low-rank matrix estimation is a fundamental problem in statistics and machine learning with applications across biomedical sciences, including genetics, medical imaging, drug disco…