This technical report details the Variational Expectation-Maximization (EM) algorithm and its application in Latent Dirichlet Allocation (LDA) for MIMIC-IV clinical notes.
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I am a PhD student in the Department of Biostatistics, School of Public Health, University of Michigan. My research interests are in causal inference, and randomized clinical trials.
Regression-Based Proximal Causal Inference
Identification of causal effects can be challenging in observational studies due to presence of confounding and measurement error. Consequently, one would resort to working with proxies of underlying confounders (with error).