MRC Biostatistics Unit
@mrc-bsu.bsky.social
400 followers
73 following
60 posts
We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health.
www.mrc-bsu.cam.ac.uk
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Reposted by MRC Biostatistics Unit
Reposted by MRC Biostatistics Unit
Reposted by MRC Biostatistics Unit
Stephen Burgess
@stevesphd.bsky.social
· Jul 22
Context-stratified Mendelian randomization: exploiting regional exposure variation to explore causal effect heterogeneity and non-linearity
Mendelian randomization (MR) uses genetic variants as instrumental variables to make causal claims. Standard MR approaches typically report a single population-averaged estimate, limiting their abilit...
arxiv.org
Reposted by MRC Biostatistics Unit
Jeffrey Pullin
@jeffreypullin.bsky.social
· Jul 22
Flexible and efficient count-distribution and mixed-model methods for eQTL mapping with quasar
Identifying genetic variants that affect gene expression, expression quantitative trait loci (eQTLs), is a major focus of modern genomics. Today, various methods exist for eQTL mapping, each using dif...
www.medrxiv.org
Reposted by MRC Biostatistics Unit
Natsal
@natsal.bsky.social
· Jul 16
Reposted by MRC Biostatistics Unit
Natsal
@natsal.bsky.social
· Jul 15
Reposted by MRC Biostatistics Unit
Reposted by MRC Biostatistics Unit
Janne Pott
@pottj.bsky.social
· Jun 10
Perfect Taxon Sampling and Fixing Taxon Traceability: Introducing a Class of Phylogenetically Decisive Collections of Taxon Sets - Bulletin of Mathematical Biology
Phylogenetically decisive collections of taxon sets have the property that if trees are chosen for each of their elements, as long as these trees are compatible, the resulting supertree is unique. Thi...
link.springer.com