Discover and read the best of Twitter Threads about #epibookclub

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Good morning #EpiPeoplesHealth #epibookclub!

We’re reading chapter 7 this week, which means we’re almost done the book. Can you believe it?!

Chapter 7 is all about Dr Krieger’s theory about population health: the ecosocial model.
I think this is my favorite chapter so far, because it finally starts to answer the question of how to incorporate a broad view of social, societal, environmental, and biological determinants of health into our theory.
My biology undergrad focused pretty heavily on ecology, so this theory really resonated with me & I realized that it makes explicit a lot of the assumptions & background I’d been working from all along.
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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.
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I found the discussion of Quetelet and populations at the beginning of Chapter 3 of Epidemiology and the People’s Health particularly instructive, especially for genetic epidemiology. #epibookclub #epipeopleshealth #gwas #genepitwitter 1/18
The question “who—or what—determines populations or groups that merit comparison” is an important but tetchy one. 2/18
The concept of “population stratification bias” in genetic epidemiology is usually introduced using a toy example: say we’re studying two populations, with random mating within but no mating across populations. 3/18
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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.
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I'm very much looking forward to read Imben's new piece on PO and DAGs. Inspired by @EpiEllie's #EpiBookClub, I'd like to start something similar to delve deeper into the individual sections of the paper. So let's start #EconBookClub! #BookofWhy 1/
2/ After having read the introduction, it's very cool to see that Guido apparently had a change of mind with respect to the usefulness of DAGs. Compare this passage of the paper with his 2014 paper published in Statistical Science:…
3/ It's not exactly clear what Guido's personal stance is, but there's certainly a change in tone here. That's great, because it means that the paper could be a real starting point for having an objective discussion about how DAGs can add to our econometric toolbox.
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It’s week 2 of the #EpiPeoplesHealth #epibookclub, so that means it’s time to talk about chapter 2!

This week is about early theories of the patterns and occurrence of disease.

I’m gonna do a short recap & then @nabuelezam and I will have some discussion questions all week!
In Ch 2, Dr Krieger introduces us to 4 early theories of disease.

The first is the humoral theory of disease causation of the ancient Greeks.

Under this theory, health requires balance of the 4 humors, which are in turn affected by the environment & the season.
Every person has their own natural state within the system, and based on whether you are more yellow bile or more pleghm or less black bile, there are different expectations for how your health will change throughout the year & following life events... a humoral disease horoscope
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Related to the discussion in this thread👇🏼, here’s a short thread on something I else I’ve been mulling over lately re: Hill’s criteria

#epibookclub #EpiPeoplesHealth #epitwitter

Is there any way in which they be considered a theory of epidemiologic causation?
If not, & they’re instead just tool for thoughtful evaluation of evidence, can they be applied to non-quantitative evidence or non-causal questions?
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Heard about the #EpiPeoplesHealth #epibookclub and want to know how it works? This is the thread for you!

1. We’re reading Nancy Krueger’s Epidemiology and the People’s Health.
2. We started this week, and are reading one chapter per week all summer.
3. @nabuelezam and I are co-moderating. This means we’ll post our thoughts, discussion questions, reflections each week.
4. To participate, comment on those threads or post ur own.
5. Make sure to include the tags: #epibookclub and #EpiPeoplesHealth so we can find ur tweets!
6. Follow me & @nabuelezam to make sure you don’t miss our threads!
7. Don’t forget to check out the tags to see & discuss other’s posts
8. In the twitter web version, you can save the hashtags as searches for easy access anywhere, anytime.
9. Last but not least, have fun!
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Excited to hear @lisabodnar & @ProfMattFox’s #SPER2019 keynote!! Just as soon as the technical issues get fixed 😬😬
Is twitter a dumpster fire?
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It’s finally summer, which means it’s time for the next #epibookclub!

Our book will be Epidemiology & the People’s Health by Nancy Krieger

Get your copy now & we’ll kick off reading once #SER2019 is done!

For those of u new to #epibookclub, here’s how it works:
•We read 1 chapter / week
•each week, I’ll post a recap + thoughts, qs, etc
•everyone joins in w/ thoughts, qs etc
•tag ur posts with #EpiPeoplesHealth
•I’m enlisting @nabuelezam to help moderate, so follow her too!
Need more convincing? Check out our winter #epibookclub thread on #datavizbook here👇🏼
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Hello all #dataviz fanatics! It’s time to kick off our #datavizbook #epibookclub for @kjhealy’s new book, Data Visualization.

Remember, if your book hasn’t arrived yet or you’re waiting on the library, you can read it here:

#epitwitter #datascience
This week, we’re reading the Preface and Chapter 1: Look at Data.

I’ll post some highlights from each and then I hope you’ll chime in with your thoughts, comments, questions, etc.
In the Preface we get a nice overview of the goal of this book: the why and how of good data visualization for beginners, including practical applications in R with ggplot2.

The book doesn’t assume any prior knowledge of R, & covers everything #dataviz from scatterplots to maps.
Read 18 tweets
Interested in thinking more deeply about what a “cause” is? Causation: A Very Short Introduction from @ranilillanjum and @SDMumford is a great starting point.

Thread recap starting now👇🏽#twittereview #epibookclub #causation #causalinference #epimethodsclub
Chapter 1 sets up the problem: causation is hard to define, both in general & for specific events. It’s more than just temporal ordering, but is it a separate thing?

An ex., a town gets sick after flood of rats. Did the rats cause sickness? Maybe it was actually a sick visitor.
Chapter 2 introduces us to Hume’s theories of causation.

1st, regularity: sometimes things are *regularly* followed by other things.

Is this causation? If so, how regular is regular enough? How many times do we have to observe steam after heating water to say it’s causal?
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Now that the #epibookclub is over, my weekends are free for reading #RCTs. So, how about a #tweetorial about #pragmatic trials, causal questions, and #landmark analyses, inspired by the #SCOTHEART trial?

#epimethodsclub #cardiotwitter
If we’re going to talk about #pragmatic trials, then we need to start with a definition. The simplest definition I’ve seen is from a trialist I interviewed for my recent @JClinEpi paper (…)

pRCTs “...attempt to address effectiveness in real world settings”
Sure, it’s a bit vague but it’s useful because, like Tolstoy’s unhappy families, #pragmatic trials are all different.

So, what makes me think #SCOTHEART is pragmatic?

My 2¢: lack of blinding, inclusion criteria based on symptoms not diagnoses, & standard care as comparator.
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Wow, #epibookclub, we’re officially halfway through the #bookofwhy!

Chapter 6 is a doozy... we’re going to learn all about paradoxes!! Get ready to have your mind blown!! 🤯🤯🤯
Given last week’s tragic fail on paradox gifs, I made you our very own #epibookclub gif! It’s paradox time!!

(Please be kind this is my very first homemade gif 😂😂)
I like the chapter set up this week: @yudapearl explains importance of spending time working out the paradoxes...they can give us insight into how people process causal information. He says these are paradoxes b/c they straddle the rungs of the #ladderofcausation

So, up we go!
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