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Title | The Research Group of Mark van der |
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Home Posts News About Students Research Software Courses Contact RSS Twitter GitHub © 2018-2021. All rights reserved. Built with Hugo Theme Blackburn The Research Group of Mark van der Laan Computational Biology and Causality Causal inference with latent variables for unmeasured confounding Mark van der Laan 30 Jun 2021, 13:38 resources / statistics / targeted learning / Q&A This post is part of our Q&A series. A question from graduate students in our Spring 2021 offering of the new course “Targeted Learning in Practice” at UC Berkeley: Question: Hi Mark, Statistical analyses of high-throughput sequencing data are often made difficult due to the presence of unmeasured sources of technical and biological variation. Examples of potentially unmeasured technical factors are the time and date when individual samples were prepared for sequencing, as well as which lab personnel performed the experiment. Read more Causal mediation analysis for exposure mixtures Mark van der Laan 02 May 2021, |
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