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<rss version="2.0"><channel><description>Interested in data ... pharmacometrics, causal inference, ..., risk management, cheminformatics, molecular modeling, protein structure determination, peptide sequencing | Basel &#xA;&#xA;&#xA;https://scholar.google.com/citations?user=R3QYvdUAAAAJ</description><link>https://bsky.app/profile/chriba.bsky.social</link><title>@chriba.bsky.social - Christian Bartels</title><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mont5tnwec2h</link><description>Causal inference without do-calculus nor potential outcomes. An important simplification?&#xA;&#xA;#causal #causal_inference #swig #docalculus #identification&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>19 Jun 2026 17:04 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mont5tnwec2h</guid></item><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mo4b6az7cc2i</link><description>Early us of Bayesian approach in bioinformatics. Use available knowledge on chemical shifts and distances in homologous proteins as prior to assign NMR spectra for protein structure determination.&#xA;&#xA;https://en.wikipedia.org/wiki/Structure-based_assignment&#xA;&#xA;https://doi.org/10.1007%2FBF00202037&#xA;&#xA;#nmr #protein #structure #bayesian</description><pubDate>12 Jun 2026 17:26 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mo4b6az7cc2i</guid></item><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mnovorsfik25</link><description>Early use of directed acyclic graphs to speed up analysis of mass spectrometry of peptides. Low polynomial time complexity, down from exponential complexity without DAGs.&#xA;&#xA;https://en.wikipedia.org/wiki/De_novo_peptide_sequencing&#xA;&#xA;https://doi.org/10.1002/bms.1200190607&#xA;&#xA;#DAG #Peptide #sequencing</description><pubDate>07 Jun 2026 09:56 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mnovorsfik25</guid></item><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mnd26f7j4k2h</link><description>Single-world intervention graphs (SWIGs) as distributions. Systematic way to derive identifying expressions for estimands. New front-door derivations extending more readily to complex settings. &#xA;&#xA;https://doi.org/10.48550/arXiv.2605.17050&#xA;&#xA;#SWIG #DAG #causal #identification #frontdoor</description><pubDate>02 Jun 2026 16:45 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mnd26f7j4k2h</guid></item><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mfvyloeu3c2d</link><description>Post a pic you took, no context, to bring some zen to the feed.&#xA;&#xA;[contains quote post or other embedded content]</description><pubDate>28 Feb 2026 10:15 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mfvyloeu3c2d</guid></item><item><link>https://bsky.app/profile/chriba.bsky.social/post/3mfhnba3cys2j</link><description>We apply the estimand framework to dose–exposure–response analyses. ... strategy to improve exposure–response analyses for dose selection, particularly when the relevant evidence includes data from multiple studies.&#xA;&#xA;#estimand #exposure-response #dose-response #causal&#xA;&#xA;https://doi.org/10.1002/psp4.70202</description><pubDate>22 Feb 2026 17:15 +0000</pubDate><guid isPermaLink="false">at://did:plc:ftntznxjqemtxeaxkfl7efno/app.bsky.feed.post/3mfhnba3cys2j</guid></item></channel></rss>