Pinned Tweet
Yeah sex is cool, but have you tried facultatively switching back and forth between sex and parthenogenesis to take advantage of genetic recombination in stressful situations while not wasting your reproductive output on dead-end males when conditions are good? #daphnia
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Marta Shocket 🏳️‍🌈 retweeted
my phd cohort had an ongoing note we added to when we read a paper than mentioned a new "ome"
Nobody

Biologists - see that stuff? Its a stuffome
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Marta Shocket 🏳️‍🌈 retweeted
MAHA tells parents to “do their own research” on shots for their babies. They don’t discuss the deadly consequences.

An 11-Day-Old Baby Couldn’t Stop Bleeding. For Hours, the ER Didn’t Provide a Critical Vitamin Shot. propublica.org/article/vitami…
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Marta Shocket 🏳️‍🌈 retweeted
Tenure-track Assistant Professor of Ecology and Evolution of Infectious Disease position available at the University of Florida. explore.jobs.ufl.edu/en-us/job/5411…
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Marta Shocket 🏳️‍🌈 retweeted
Estadística para biólogos: una colección gratuita de Nature.
Consejos prácticos de estadística para ayudar a mejorar el rigor de su trabajo.

nature.com/collections/qg…

#stats #datascience #Bioestadística #InvestigaciónCientífica #Biología #AnálisisDeDatos #analytics #dataviz
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Marta Shocket 🏳️‍🌈 retweeted
The committee reviewing US measles elimination status met this month. PAHO decides in November.
Our new paper in Nature Medicine shows this wasn’t sudden. It was visible years ago, in data nobody was looking at. 🧵
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Marta Shocket 🏳️‍🌈 retweeted
Be sure to register for next week's MIDAS Webinar Series: Latin America Edition (conducted in Spanish)

Date: Thursday, August 20, 2026

Time: 12:00 – 1:00pm EDT

Register: pitt.zoom.us/webinar/regist…

midasnetwork.us/midas-webinar-…
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Marta Shocket 🏳️‍🌈 retweeted
PhD position in my group for entry in October 2026. Round 3 of the @NRPBIODTP BBSRC competition. Please RT👇
biodtp.norwichresearchpark.ac.uk/projects/vanis…
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Marta Shocket 🏳️‍🌈 retweeted
London School of Hygiene and Tropical Medicine is seeking a research fellow with experience in mathematical modelling of infectious diseases. jobs.lshtm.ac.uk/vacancy.aspx?r…
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Marta Shocket 🏳️‍🌈 retweeted
🚨 New preprint: we solved the “Darién paradox.” Oropouche virus stayed quiet in Panama’s Darién corridor nearly a YEAR after Brazil’s peak. Cryptic spread, or a fresh arrival? We integrated clinical + genomic + climate surveillance to find out 🧵👇
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Marta Shocket 🏳️‍🌈 retweeted
My latest article. A reminder that mosquito bites can have fatal outcomes in some parts of Australia. Stay alter in Northern Australia after heavy rains have created favourable conditions for mosquitoes in recent months 🦟
Murray Valley encephalitis can be fatal. With no vaccine, here’s how to stay safe theconversation.com/murray-valley-…
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Marta Shocket 🏳️‍🌈 retweeted
Automatic variable selection is a powerful technique for simplifying models, reducing overfitting, and improving interpretability. It enables you to efficiently identify the most important predictors from a large set of variables.

However, it’s important to recognize that ction involves random processes. The same algorithm may select different variables across multiple runs, and different algorithms can yield entirely different selections, even when applied to the same data set.

The graph below illustrates how different automatic variable selection methods perform across 200 simulation runs. Each box represents one method, with rows corresponding to variables and columns to simulation runs. Black indicates selected variables, while white indicates excluded ones.

🔹 Stepwise Selection: Highly inconsistent, with patterns that often appear random. Very few variables are consistently selected across all runs.
🔹 Regression Tree: Most variables are rarely selected, with only a small subset chosen consistently across simulations. The small median model size reflects this focused selection.
🔹 Random Forest: Demonstrates improved stability compared to regression trees, with more consistently selected variables, though variability persists for weaker predictors. This method tends to include a broader set of variables compared to regression trees.
🔹 Lasso and Elastic Net: Both methods exhibit relatively stable variable selection, with Elastic Net slightly outperforming Lasso due to its larger model size, allowing for broader inclusion of important variables.

While no method achieves perfect consistency, Random Forest, Lasso, and Elastic Net generally provide more stable and reliable variable selection results, whereas Stepwise Selection tends to be the least reliable.

I published these results in a working paper back in 2018, but they remain highly relevant today. If you're interested, you can read the full paper here: statistiques.public.lu/dam-assets/cat….

If you enjoy insights like these, subscribe to my free email newsletter for regular tips on data science, statistics, Python, and R programming. Further details: statisticsglobe.com/newsletter

#datasciencetraining #RStats #VisualAnalytics #datastructure #RStudio
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Marta Shocket 🏳️‍🌈 retweeted
There are no words! Think twice about working for University of California. UCLA's Most Decorated Ecologist Just Got Fired : Here's the sequence linkedin.com/pulse/uclas-mo…
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Marta Shocket 🏳️‍🌈 retweeted
CLOSING SOON: Postdoc (University Park, USA) NIH-NSF funded project on human health, movement, and infectious diseases.

iddjobs.org/jobs/the-bhart…
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Marta Shocket 🏳️‍🌈 retweeted
🚨Postdoc in Macroevolution🚨
Deadline April 12th

Join a team of Stuttgart botanists & myself to test drivers of Angiosperm diversification!

Submit cover letter, CV, 3 referees & publication list in a single PDF to postdoc-botany@smns-bw.de + 3 key papers (if possible) as PDF
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Marta Shocket 🏳️‍🌈 retweeted
With all eyes focused on Iran, Trump and DHS are pushing forward on border wall construction through Big Bend National Park. They will hand the Rio Grande to Mexico, destroy thousands of jobs, and ruin the last remaining wild West, all for less than 1% of all border crossings:
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Marta Shocket 🏳️‍🌈 retweeted
Combining blood meal analysis and parasite detection yields a more comprehensive understanding of insect host feeding patterns dlvr.it/TM27qS Parasites&Vectors
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Marta Shocket 🏳️‍🌈 retweeted
Replying to @docmilanfar
'calculus for babies' introduced TLS first, which is not the typical sequence!
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Marta Shocket 🏳️‍🌈 retweeted
Most tech people know about ordinary least-squares (OLS), but not so much about *total* least-squares (TLS)

They measure fit differently: OLS minimizes sum of sq. distances along dependent variable; whereas TLS minimizes sum of orthogonal distances from data to fit line

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Marta Shocket 🏳️‍🌈 retweeted
My lab’s 5-year NIH R01 grant, awarded to study gene therapy for hearing loss, was abruptly terminated. I want to share how this action has been incredibly harmful and disruptive, not just to my lab, but to the scientific process itself. 1/15
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Marta Shocket 🏳️‍🌈 retweeted
PhD position (Liverpool, UK)
Developing models to help make decisions early in a major disease outbreak when availability of new tests is limited.
with @emjnixon
at University of Liverpool
More details: iddjobs.org/jobs/developin…
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