Nicholas Ollberding

Associate Professor @CincyChildrens
Epidemiology|Microbiome|Biostatistics|Predictive Modeling|Views are my own

[Nicholas Ollberding @Nick10243]

WHERE WILL HER GO? https://t.co/ch1g3pRKxx via @YouTubesqwssvz wet few 12222222222

[Cincinnati Children's @CincyChildrens]

In mice, pups with a #microbiome fortified w/ #butyrate had reduced risk of #biliaryatresia Study @NatureComms https://t.co/3Pn46burWW Congrats @bezerratweet @DrRomesPhD @Nick10243 and team! View our blog: https://t.co/kH53WM6Vts

[Andrew Beck @afbeckmd]

Lots of #COVID19 cases in Greater #Cincinnati today - highest daily total since winter. Highest case rate (per 100,000 on a 7-day moving average) is now among youth 0-19yo. #GetVaccinatedNow & #MaskUp for yourself, your neighbors, and our children.
#DeltaVariant #schoolreopening

[Morgan Langille @BetaScience]

What started as a 1 day side project turned into a nearly 3 year long lab analysis. "Microbiome differential abundance methods produce disturbingly different results across 38 datasets" https://t.co/56rVFk97fN

[Segata Lab @cibiocm]

bioBakery 3 is out in @eLife! It describes our latest versions of MetaPhlAn 3, HUMAnN 3, StrainPhlAn 3, PanPhlAn 3 and more from @cibiocm and @hutlab ! Huge thanks to so many but especially to Francesco Beghini @chocophlan and Lauren McIver! https://t.co/rPMfMRWLzT

[CMI @ UC San Diego @CMIdigest]

The latest mSystems brings to the public a new interactive web tool for visualizing large-scale phylogenetic trees - Read all about it:
https://t.co/6FievY2x7E

@IBMResearch #mSystemsJ @ASMicrobiology #Phylogenetic @qiime2 #Python

[Bonnie Hurwitz @hurwitzlab]

Submit your responses now for the National Microbiome Data Collaborative survey for users: https://t.co/TvL6xxr6BT.

[Frank Harrell @f2harrell]

#Statistics thought of the day: if you are not certain how to transform a continuous dependent variable to make assumptions work (e.g. normality of residuals) use a semiparametric method that is transformation-invariant, e.g. proportional odds/hazard model. #rmscourse #bbrcourse

[Stephen Turner 🦋 @stephenturner.us @strnr]

Metalign: efficient alignment-based metagenomic profiling via containment min hash https://t.co/LhWYHB6hni https://t.co/5pqquUGxDw

[Frank Harrell @f2harrell]

New R package rmsb: Bayesian counterpart to the rms (regression modeling strategies) package now on CRAN. Uses pre-compiled @mcmc_stan code. Information including lots of examples at https://t.co/XSMsQyqA1J #rmscourse @vandy_biostat @VUDataScience

[[email protected] @cpsievert]

In addition, you can now also set discrete colour/fill scale defaults via a vector (or list) of colour codes. Super useful for providing colour-blind safe defaults! #rstats

[Amy Willis 😻 amydwillis.bsky.social @AmyDWillis]

Woohoo -- I finally carved out some time today to make a Wiki to answer the most common questions I get about my #R #rstats package `breakaway` 🥳😻🎀

Check it out here:

https://t.co/upLmi0h3CS

#rstats #microbiome #microbialdiversity

[hutlab @hutlab]

HUMAnN 3.0 (alpha) is out! Functionally profile #metagenomes or #metatranscriptomes at species-level resolution. Designed in tandem with MetaPhlAn 3.0, more options for fine-tuning tiered search, 2x the species #pangenomes and 3x the gene families. Enjoy!
https://t.co/EU6ZsDI9LM

[Stephen Turner 🦋 @stephenturner.us @strnr]

powmic: #Rstats pkg for power assessment in #microbiome case-control studies https://t.co/l5JfHQHuxk https://t.co/7ywnBx2JE7

[Stephen John Senn @stephensenn]

If you like using propensity matching, think again. See
https://t.co/YVWbwr1d7K or https://t.co/aAGdRvKZIK by @PhilDawid or https://t.co/rsz27yAJiH by @kinggary

[Miguel Hernán @_MiguelHernan]

Got observational data with time-varying treatments and confounders?

Want to estimate the effects of sustained treatment
strategies?

Then you'll enjoy this gentle introduction to the gfoRmula package in #rstats.

Led by Sean McGrath & Victoria Lin
https://t.co/Q9lVjCbWoI

[Richard McElreath 🐈‍⬛ @rlmcelreath]

David is producing clean thorough tidyverse versions of my book exercises. Seems useful for you tibblers.

[Nicholas Ollberding @Nick10243]

@toates_19 Thanks Tom. I am glad you found it helpful!

[Nicholas Ollberding @Nick10243]

@f2harrell @vandy_biostat Hi Frank @f2harrell ! Thanks for sharing the blog post. I hope people find it helpful. Look forward to digging into some of the new Bayesian functionality soon!