Methods chat about personalized medicine and positivity in causal inference
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Description
Lucy D'Agostino McGowan and Ellie Murray chat about critiquing methods research, average treatment effects, and positivity violations!
Follow along on Twitter:
The American Journal of Epidemiology: @AmJEpi Ellie: @EpiEllie Lucy: @LucyStats 🎶 Our intro/outro music is courtesy of Joseph McDade
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Erick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology.
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“A causal roadmap for generating high-quality real-world evidence” https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603361/
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Published 05/29/24
Published 05/29/24
Nima Hejazi is an assistant professor in biostatistics at Harvard University. His methodological work often draws upon tools and ideas from semi- and non-parametric inference, high-dimensional and large-scale inference, targeted or debiased machine learning (e.g., targeted minimum loss...
Published 05/16/24
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