Discover and read the best of Twitter Threads about #EpiTwitter

Most recents (24)

Good morning, #epitwitter!
I’m a co-author on @JessGeraldYoung’s new paper out now in Trials & I want to tell you all about it!

Do you use longitudinal data? Are your measurements often enough? Do you know what “often enough” is?

Time for a #tweetorial!…
If exposure happens once, then we only need to worry about confounders once too.

But if exposure can happen over time, so can confounding! & if exposure happens every day, so can confounding😰

But we usually don’t have data everyday. Is that bad? Classic epi answer: it depends!
How often do we need to measure our exposure and confounders to be able to adequately adjust for confounding?

We did a simulation study to find out!
Read 13 tweets
So excited for @sherrirose long-awaited workshop on computational health economics & outcomes. @UCSF_Epibiostat #epitwitter
She leads by calling for value of interdisciplinary research. Need both strong theory & practical/relevant for practice. Sometimes theoretical ideal and practicability are in conflict. Callout for articles on methods grounded in real problems for journal @biostatistics.
@biostatistics Computational health economics (#econtwitter): how can we affect policy?
Data first, methods second. Usefulness of electronic health database is a new resource, but usefulness for research really varies (fancy stats doesn't solve major data problems)
Read 28 tweets
THREAD: How do you plan for BIG projects? I just planned out my writing schedule for my dissertation proposal and thought I'd share.

#AcademicTwitter #PhDTwitter #EpiTwitter
Step 1: What's your weekly schedule look like in terms of PRODUCTIVITY BLOCKS? (shoutout to @CharlieGilkey for introducing me to these - check out his free block planner!) 1/n
Bailey, what's with all the shade? Light gray = potential time off (hello weekend 😎) or may not always be able to write (hello walk-in stats consultant job! 🤓) Dark gray = when I can't write because of journal club, peer led, etc. but those don't occur weekly. Or gym time! 2/n
Read 10 tweets
JOB ALERT: if you are an aspiring trial statistician (or an experienced trial statistician seeking a change of scenery) that would consider a move to Pittsburgh, feel free to DM me for details.
Background in stats, biostats, epi, or any related field, but clinical trial experience (student experience counts) is highly preferred. The group doing the hiring is specifically looking for someone with interest in trials.
Tossing this out to #statstwitter and #epitwitter for a signal boost.
Read 3 tweets

A tweetstorm by a frustrated epidemiologist

I was disappointed to see an "obesity paradox" article in @AmJEpi

Instead writing a letter to the editor, I decided that Twitter is a better way to reach ppl on #epitwitter #medtwitter

Before I begin: I have the utmost respect for @easchisterman and the @AmJEpi team. But, I have a particularly strong reaction to articles claiming to have evidence of a “true” obesity paradox.

Science moves forward through scholarly debate. Let’s keep the discussion courteous!
Also, PLEASE RT and share with colleagues on #epitwitter #medtwitter #statstwitter #academictwitter

I'd love to engage and answer any questions you may have!

Here's the article I'm tweeting about:
Read 11 tweets
If you are moderating a focus group, please be aware of the introvert participants. Extroverts would dominate the discussion and... #phdchat #qualitativeresearch #AcademicChatter #AcademicTwitter #epitwitter #meded /1
is your duty as the moderator to verbalize any nonverbal cue of the introverts to invite them to participate. Example: “Mike I noticed you smiling when Karen mentioned … What do you think about it?”. #phdchat #qualitativeresearch #AcademicChatter /2
“I noticed that you put a surprise face when … was mentioned. What are your thoughts?” Everyone should be involved in the discussion as early as possible. #phdchat #qualitativeresearch #AcademicChatter /3
Read 5 tweets
@shiftkeylabs @DigiHealthCA @dalfcs @DalWiTS You do understand that healthcare wait lists are not standard queuing processes like supermarket checkouts, or call centres, right? #scitwitter #statstwitter #epitwitter
@shiftkeylabs @DigiHealthCA @dalfcs @DalWiTS 1. There are strong screening and threshold effects, where clinical gatekeepers roughly objectively assess patients for access to the wait list. #scitwitter #statstwitter #epitwitter
@shiftkeylabs @DigiHealthCA @dalfcs @DalWiTS 2. There are anticipatory effects where clinical gatekeepers will aggressively enrol patients to wait list if they know new resources are being added, and conversely will limit access when they know resources are going to be constrained. #scitwitter #statstwitter #epitwitter
Read 7 tweets
Good luck @dryiu_verna and @jkenney with the AHS review when @EYnews doesn't even understand the principle of the Nash Equilibrium. Hint: it's why we have problems like resistant strains of infections. #ableg #abpoli #scitwitter #statstwitter #epitwitter #NotEvenWrong
@dryiu_verna @jkenney @EYnews In healthcare the Nash Equilibrium occurs because clinicians try to do what's best for the immediate problem right in front of them, without view to the future clinicians or broader society. #ableg #abpoli #scitwitter #statstwitter #epitwitter #NotEvenWrong
@dryiu_verna @jkenney @EYnews The result is that we end up trying to cure ageing through the primary, ambulatory, or inpatient care. #ableg #abpoli #scitwitter #statstwitter #epitwitter #NotEvenWrong
Read 9 tweets
1/ #EpiTwitter tweetstorm coming

Warning: strong opinions

The analysis is naive and the findings are ridiculous; the fact that it was published is a sign that when medical journal editors hear "deep learning AI" their brains stop working.
2/ first of all, the sheer improbability of the claim. 

That you can predict skin cancer in general pop in the next year w AUC 0.9 (and 0.8+ based on medications alone)

That is nuts.

PHOTOGRAPHS OF SUSPICIOUS SKIN LESIONS have worst test characteristics.
3/ it's as if all previous knowledge of non-melanoma skin cancer epidemiology was wiped out.

Age doesn't matter much. Medications not known to be associated w skin cancer matter a lot.

Many of the meds are taken for years/decades, so couldn't have a huge impact on 1-year risk
Read 17 tweets
After the wonderful @EANBoard #SoMe4Epis module on social media for public health professionals, on request:

[THREAD] Here’s my bag of resources and explanations for beginners, to get started on social media

Kicking off with an introduction to social media for scientists by @hollybik & @MiriamGoldste

All in the familiar academic format of a journal article:…

#scicomm @PLOSBiology
So why engage in social media as an epidemiologist or public health professional?

It helps to build trust in science!

#PLOSONE: Using selfies to challenge public stereotypes of scientists

#scicomm #scientistswhoselfie
Read 17 tweets
WTAF😠 @sciencemagazine

The conceptual idea behind this paper should trigger an instant desk-rejection in any Journal with a shred of dignity.

@cecilejanssens @TimothyLash @tpahern @LaurenAnneWise @EpiEllie #medtwitter #epitwitter @VPrasadMDMPH @OwenJones84

A few of many questions:

1) What was the research question addressed?

2) What was the suggested added value to mankind from the study proposal?

3) What kind of scientist pitches such a study proposal?

4) Importantly: What kind of scientists says "Great idea, let's go"?

5) Which Institutional Board and Ethics Committee approves such study proposal?

6) Who funds such study proposal?

7) @ The Authors: Were you unable to find a better cause for your intellect, competences and resources? Really?

Read 5 tweets
Hi #pediatricians, our work on #disparities in #disability id. was just cited by the @AmerAcadPeds in their #policy statement on the impact of #racism on children's health. Our most recent study was cited. If helpful, here is a thread of our work to date. #RacismAndHealth (1)
@AmerAcadPeds Here is the abstract and link the the study cited in the @AmerAcadPeds policy statement.…. We find that children of color are less likely to be identified as having disabilities than similarly situated students who are White in U.S. schools (2)
@AmerAcadPeds Here is an example finding. Of U.S. 4th grade students displaying clinically significant reading difficulties, 74% of White students are receiving special education. The contrasting percentages for Black, Hispanic, and American Indian students? 44%, 43%, and 48%, respectively (3)
Read 15 tweets
Hey, #epitwitter allow me to introduce the #epigif! A whole new level of #epicartoon to inform and delight 😆
If you’d prefer a non-gif version, the inaugural #epigif is based on this Medium post of mine👇🏼
So, what do you think? More #epigifs? Just stick with #epicartoons? Other ideas?
Read 3 tweets
1. PhD thesis 'Modelling BCG vaccination in the UK: What is the impact of changing policy?' submitted and everything is totally normal....

Written with #rstats, #bookdown, and #thesisdown.

Read here:

#phdchat #epitwitter #openscience #tuberculosis
2. Thanks to my supervisors @n3113n and @Christensen_H + my funders @HPRU_EI + @PHE_uk for the data.
3. Some results: 'getTBinR: an R package for accessing and summarising the World Health Organisation Tuberculosis data'



Read 13 tweets
"Between 2006 and 2015, ... colorectal cancer rates increased by 3.47 percent among Canadian men under age 50. And from 2010 to 2015, rates increased by 4.45 percent among women under age 50."

Let's check the data ...
Who teaches that fitting a regression line is drawing a straight line and drawing as many other straight lines as needed and wherever needed?

@f2harrell @statsepi @MaartenvSmeden #epitwitter #statstwitter #peerreviewed @JAMANetworkOpen…
I am adding a reference to the method here, which I didn't know about (and which I still don't understand why that can be applied to 45 datapoints without over fitting--maybe someone can explain).
Read 3 tweets
I have a matching question, #epitwitter:

In cohort studies, matching is supposed to control for confounding so you don’t need to adjust for the matching factors, but in case-control studies, matching just improves efficiency & you still need to adjust for matching factors... 1/3
In a DAG, the case-control situation seems clear to me👇🏼... selection is a consequence of the outcome and the match factor and is therefore a collider.

So, makes sense that we need to adjust for the match factor in a case-control study to block that path & the confounding. 2/3
But, when I draw a similar DAG for a cohort study, isn’t selection a consequence of *exposure* & the match factor & therefore *still* a collider?

Why don’t we need to adjust for the match factor as a confounder / open collider path in a cohort study? What am I missing? 3/3.
Read 3 tweets
THREAD: I’m a scientist and I gained 1K TWITTER FOLLOWERS in FIVE WEEKS. Here’s how I did it. #medtwitter #epitwitter #AcademicTwitter #AcademicChatter #phdchat
1. I changed my mindset about Twitter. When I first started my account, I thought of it as a personal platform where people yell at each other (true). But it’s more than that. It’s a PROFESSIONAL NETWORKING tool. Use it to find your tribe. I’m looking at you #epitwitter.
2. I made my profile searchable and memorable. Does your bio describe you or does it sound like a canned bio on your employer’s website (or worse: a dating site)? Describe your profession. Add some dimension like #vegetarian #endocrinologist. Give people a reason to follow you.
Read 16 tweets
1. First release of {#idmodelr} is now on CRAN. {idmodelr} is a library of #infectiousdisease models and utilities for using them. Use case is exploration/education/research + signposting.

#rstats #epitwitter #dynamics #opensource #openscience
2. Current status is WIP with more features - and additional models - planned. Contributions much appreciated!

Planned features:…
3. {#idmodelr} has an accompanying #shiny app that demos some of the functionality and can be used as a standalone tool for exploring infectious disease models.

See here:…
Read 9 tweets
Yesterday, @BUSPHEpi #epibookclub was joined by Dr Nancy Krieger

It was so great to be able to discuss with her in person! I definitely understand so much more now!

So, here’s a thread of our convo👇🏼
The 1st question was posed by @ProfMattFox: what was Dr Krieger’s goal in writing this book?

Long story short: “this book is what I wish I had been taught as a student”

She encouraged students to explore their interests even if they don’t fit traditional boundaries of the field
Dr Krieger said something which really resonated with me & is a big part of why I #epitwitter

“The role of educators is to transmit the lessons you’ve learned to others”

If we dont share what we’ve learned, be it theory or methods or experiences, we’re not fulfilling our roles.
Read 29 tweets
Is social epi stuck in a loop?

Each new wave of researchers seems to rediscover the same concepts & mechanisms & study them with newer fancier methods. But are we getting anywhere?
Maybe one for #epibookclub #epitwitter
I'm amazed by the number of papers I read announcing that, lo & behold, health inequalities are not simply about people's choices. Yes, health inequalities are largely caused by social structures, and socio-political values.
Because populations are organised by social structures, people embody the world differently. This means that health mirrors our social structures.
Read 8 tweets
Happy Tuesday, #epitwitter! There’s been a lot of discussion #onhere about #causalinference lately, but that’s not all that epi is about.

For this week’s #epichat with @epiellie, let’s talk about descriptive epi!

To kick things off, an #epiquiz:

How often do you do descriptive epidemiology in your work or research?

(click to see poll options)
Next question — this one’s for discussion so share your thoughts!

What differentiates descriptive epi from causal inference epi?

My take: descriptive epi is about who, what, where, & when; causal inference epi is about why, how, and what would happen if we changed something.
Read 11 tweets
If you saw this and you’re not an avid follower of #epitwitter, you may have followed the link to the paper and thought, “Wow! Why is she so devoted to something so boring?” Well I'm here to tell you why *SELECTION BIAS* could keep me awake though the mid-chemo Benadryl haze. 1/
First, what do I mean by selection bias? The term is used differently between and even within disciplines, so let me clarify. 2/
Often "selection bias" is used to describe the fact that studies aren’t representative of a population — they select on factors like age or income, whether accidentally or on purpose. A trial may have inclusion/exclusion criteria (e.g, < 50 years) that limits generalizability. 3/
Read 21 tweets
I’m literally melting, #epitwitter! So, let’s have some #epifoodwar fun!

What’s your favorite cool-down treat?
If you had to pick only one of these 4 ice cream flavors to eat for the rest of forever, which would it be?

This is a #epifoodwar, so you gotta pick one! No 5th options allowed! 😆
At #ser2018, I saw an iced custard stand which sounded weird but now I regret not trying. Where can I get some near Boston?

What other variants on ice-based dessert treats have I never heard of? Share your local fav!!
Read 4 tweets
If the amazing, cutting edge, in-depth discussions on #EpiTwitter make you feel both *inspired and incompetent*

(out-of-your-depth, totally lost, etc)

Here is your reminder that this is TOTALLY OK!

👇🏻 #SendingToMyself 🧵
Not all methods/issues are relevant to everyone’s work so there’s no reason you should be fluent in all of Epi.

In fact, you can’t be.

What you can be is the expert that I know I can go to when I come across something new that overlaps with your area!
#EpiTwitter is not here to make you an expert on everything.

These discussions & #Tweetorials are here to give you an idea of when things you work on might go wrong and to let you know who can be your phone-a-friend when it does.
Read 6 tweets

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