Sara Conroy, PhD
@episconroy.bsky.social
3.4K followers 1K following 490 posts
Assistant Professor, Department of Pediatrics NCH/OSU | #episky #statsky | @OSUpublichealth and @nationwidekids: Ohio Perinatal Research Network, Center for Perinatal Research | 3 kids | she/her
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episconroy.bsky.social
What stage of grief is “inability to talk about it due to rage followed by a feeling of guilt because the importance of these things needs to be communicated”?

Asking for a friend.
Reposted by Sara Conroy, PhD
itsafronomics.bsky.social
MY DEAR FRIEND WAWA GATHERU IS ON THE DAILY SHOW TONIGHT TALKING ABOUT CLIMATE AND RACIAL JUSTICE with @joshjohnsoncomedy.bsky.social and my heart is HAPPY.

I am so freaking proud of her. Wawa's an award winning founder of Black Girl Environmentalist. 😍 #blacksky

www.cc.com/fan-hub/the-...
WAWA GATHERU TALKING TO JOSH JOHNSON
Reposted by Sara Conroy, PhD
pwgtennant.bsky.social
Statistician, data scientist, epidemiologist
Reposted by Sara Conroy, PhD
drcatherineb.bsky.social
In case anyone finds this helpful, I live in FL and was able to get my Covid shot at CVS today with no issues. The website made me state whether or not I a medical condition that put me at high risk so I checked yes (physical inactivity was listed and that sounds about right!). I wasn’t asked again.
Reposted by Sara Conroy, PhD
meredithmeredith.bsky.social
📣 Germany's close to reversing its opposition to mass surveillance & private message scanning, & backing the Chat Control bill. This could end private comms-& Signal-in the EU.

Time's short and they're counting on obscurity: please let German politicians know how horrifying their reversal would be.
signal.org
We are alarmed by reports that Germany is on the verge of a catastrophic about-face, reversing its longstanding and principled opposition to the EU’s Chat Control proposal which, if passed, could spell the end of the right to privacy in Europe. signal.org/blog/pdfs/ge...
signal.org
Reposted by Sara Conroy, PhD
Reposted by Sara Conroy, PhD
amstatnews.bsky.social
Thank you to Stata, the October sponsor of ASA's "Practical Significance" #podcast! For 40+ years, Stata has supported researchers & analysts with powerful, reproducible statistical tools. Learn more about how Stata can power your work: www.stata.com/stata-differ... statacorp.bsky.social #STATSSKY
Reposted by Sara Conroy, PhD
Reposted by Sara Conroy, PhD
bakerdphd.bsky.social
"Deloitte Australia will issue a partial refund to the federal government after admitting that artificial intelligence had been used in the creation of a $440,000 report littered with errors including three nonexistent academic references and a made-up quote from a Federal Court judgement."
Reposted by Sara Conroy, PhD
vikilovesfacs.bsky.social
Props to the CDC staff who presented the science at yesterday’s #ACIP meeting.

Key points relating to #CovidVaccination in #pregnancy

1. No increased risk of any problems in pregnancy, at birth, or for infants

1/

www.cdc.gov/acip/downloa...
A slide presented at the 18 September ACIP meeting (linked in the post). Links to CDC run studies on COVID vaccine safety in pregnancy. A list of outcomes not associated with COVID vaccination in pregnancy in these studies, including miscarriage, stillbirth, preterm birth, major birth defects, maternal or infant ICU admission.
Reposted by Sara Conroy, PhD
carlbergstrom.com
I like this. Since under RFK Jr, Covid shots are now for people with underlying conditions that put them at risk, Michigan’s chief medical executive Dr. Natasha Bagdasarian states that not having the most recent Covid shot constitutes such an underlying condition.

www.michigan.gov/mdhhs/inside...
In her recommendation, Bagdasarian stated,
"Any person over the age of six months without contraindication who has not received a dose of a Food and Drug Administration (FDA)-approved or-authorized 2025-2026 COVID-19 vaccine may be considered to have an underlying condition that puts them at high risk for severe outcomes from COVID-19 and is thus eligible to receive an age-appropriate dose."
Reposted by Sara Conroy, PhD
vikilovesfacs.bsky.social
The relentless Jessica McDonald has spent two weeks and hundreds of emails to fact check claims about the safety of #CovidVaccination in #pregnancy made at the #ACIP meeting.

She couldn't have been any quicker.

A lie can get around the world before the truth can get its shoes on.
factcheck.org
A substantial body of evidence supports the safety of the COVID-19 vaccines during pregnancy, contrary to the suggestions of some members of the CDC’s vaccine advisory committee. HHS Secretary Robert F. Kennedy Jr. recently reconstituted the committee.

www.factcheck.org/2025/10/vacc...
Reposted by Sara Conroy, PhD
vikilovesfacs.bsky.social
Jessie and I wrote at least a dozen times over the last few weeks, and she probably wrote just as much to @jsm2334.bsky.social, @doritreiss.bsky.social who I see are also quoted - as well as to ACIP members and Pfizer.

With thanks to @kevinault.bsky.social, who pinged me to say this was up.
Reposted by Sara Conroy, PhD
chantalalive.blacksky.app
Slaveholders told their slaves they needed to be grateful they'd been rescued from the savage jungles of Africa & civilized with the holy bible & worked into their graves.
Reposted by Sara Conroy, PhD
Reposted by Sara Conroy, PhD
chelseaparlett.bsky.social
It’s not the method that makes you causal it’s the assumptions
Reposted by Sara Conroy, PhD
rmcelreath.bsky.social
Are we doing simulations wrong? This paper convinced me we are. doi.org/10.1098/rstb... Usually we run 2 sets of "worlds" w and w-out intervention. Gives large uncertainties that include negative (harm) effects of interventions that are actually always positive (beneficial)!
Figure 5. Time series showing cumulative number of cases averted at each time caused by the intervention calculated using our method (single-world) and a
standard method. Shaded regions denote 90% confidence intervals. Note that there is more variation in the middle of the epidemic, so it may seem as though the
number of cases averted is large during those times. (Online version in colour.)
Reposted by Sara Conroy, PhD
statsepi.bsky.social
Also...you are all data stewards.

datastewards.ie
Reposted by Sara Conroy, PhD
jessicacalarco.com
Disinformation thrives without data

No jobs numbers = the economy isn't struggling!

No food insecurity data = people are fed!

No education research = defunding and threatening schools doesn't hurt kids!

No public health studies = our policies aren't making people sick!
Reposted by Sara Conroy, PhD
stathorizons.bsky.social
Learn to create and publish a professional, data-focused website in “Create an Online Presence with Quarto Websites” on October 16-17, with @andrew.heiss.phd‬! Discover how to use #Quarto to build a variety of websites like personal portfolios, research compendiums, and interactive dashboards.
Quarto Websites | Online Seminar | Code Horizons
This online course taught by Andrew Heiss, Ph.D., teaches you how to use Quarto to build a variety of data-focused websites.
codehorizons.com
Reposted by Sara Conroy, PhD
andrew.heiss.phd
If you've ever wanted to learn how to make beautiful websites with #QuartoPub and #rstats , check out this workshop I'm giving in a couple weeks! It'll be a blast (and we're covering Quarto's brand new _brand dot yaml system!)
stathorizons.bsky.social
Learn to create and publish a professional, data-focused website in “Create an Online Presence with Quarto Websites” on October 16-17, with @andrew.heiss.phd‬! Discover how to use #Quarto to build a variety of websites like personal portfolios, research compendiums, and interactive dashboards.
Quarto Websites | Online Seminar | Code Horizons
This online course taught by Andrew Heiss, Ph.D., teaches you how to use Quarto to build a variety of data-focused websites.
codehorizons.com
Reposted by Sara Conroy, PhD
econmaett.github.io
The authors probably don’t understand the derivation either & asked a bot too 😉
Reposted by Sara Conroy, PhD
tmcentanni.bsky.social
Postdoc opening!!

We’re looking for a postdoc to support our DoD funded study, using noninvasive vagus nerve stimulation and EEG to study speech in noise perception in veterans with TBI.

Please share and reach out to start the conversation if interested!

bit.ly/478e3ME
GAPPLab_PostDoc_opening
Classification Title: Postdoctoral Associate Job Description: The Genetics of Auditory and visual Perception and Plasticity (GAPP Lab) Lab in the Department of Speech, Language, and Hearing Sciences...
bit.ly
episconroy.bsky.social
Flu vaccine ✅
Covid vaccine ✅

Thankful I was able to get both. #vaccinessavelives
Reposted by Sara Conroy, PhD
dingdingpeng.the100.ci
Just finished reading this *excellent* article by Gabriel et al. which discusses which effects can be identified in randomized controlled trials. With DAGs!>

link.springer.com/article/10.1...
Elucidating some common biases in randomized controlled trials
using directed acyclic graphs

Although the ideal randomized clinical trial is the gold standard for causal inference, real randomized trials often suffer
from imperfections that may hamper causal effect estimation. Stating the estimand of interest can help reduce confusion
about what is being estimated, but it is often difficult to determine what is and is not identifiable given a trial’s specific
imperfections. We demonstrate how directed acyclic graphs can be used to elucidate the consequences of common imperfections,
such as noncompliance, unblinding, and drop-out, for the identification of the intention-to-treat effect, the total
treatment effect and the physiological treatment effect. We assert that the physiological treatment effect is not identifiable
outside a trial with perfect compliance and no dropout, where blinding is perfectly maintained Table 1 showing the Identifiability of target estimands depending on whether there is blinding, full compliance, and no drop-out An example DAG from the paper.
Fig. 4: A blinded trial with noncompliance.

U are unobserved confounders, Z is treatment assignment, C is compliance, X is the realized treatment, S is the subject's physical and mental health status, Xself and Xcln are the treatment that the participant and the clinician believed the participant received, Y is the outcome.