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<rss version="2.0"><channel><description>Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV&#xA;michaelschomaker.github.io</description><link>https://bsky.app/profile/mfschomaker.bsky.social</link><title>@mfschomaker.bsky.social - Michael Schomaker</title><item><link>https://bsky.app/profile/mfschomaker.bsky.social/post/3mnrdbgfnxc2d</link><description>This looks like a great package 👇&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>08 Jun 2026 09:05 +0000</pubDate><guid isPermaLink="false">at://did:plc:dvyq6duixtr4fegitz4stcph/app.bsky.feed.post/3mnrdbgfnxc2d</guid></item><item><link>https://bsky.app/profile/mfschomaker.bsky.social/post/3mn4rnfgpq22w</link><description>This is a great article which helped me a lot in preparing teaching materials for case control studies 👇&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>31 May 2026 04:56 +0000</pubDate><guid isPermaLink="false">at://did:plc:dvyq6duixtr4fegitz4stcph/app.bsky.feed.post/3mn4rnfgpq22w</guid></item><item><link>https://bsky.app/profile/mfschomaker.bsky.social/post/3mmw6snxvms2s</link><description>1/ I have never really advertised our little Github-R-package &#34;SLbooster&#34;: Additional and Modified Learning and Screening functions for Super Learning: https://github.com/MichaelSchomaker/SLbooster&#xA;&#xA;What does it do? 👇</description><pubDate>28 May 2026 14:03 +0000</pubDate><guid isPermaLink="false">at://did:plc:dvyq6duixtr4fegitz4stcph/app.bsky.feed.post/3mmw6snxvms2s</guid></item><item><link>https://bsky.app/profile/mfschomaker.bsky.social/post/3mkkpehm27225</link><description>How should we deal with missing data when using TMLE? &#xA;&#xA;Led by Christoph Wiederkehr and now available online at the Biometrical Journal:&#xA;https://onlinelibrary.wiley.com/doi/10.1002/bimj.70134</description><pubDate>28 Apr 2026 13:37 +0000</pubDate><guid isPermaLink="false">at://did:plc:dvyq6duixtr4fegitz4stcph/app.bsky.feed.post/3mkkpehm27225</guid></item></channel></rss>