Top Tweets for #Table2Fallacy
@statsepi I had an allergic reaction as soon as I saw the term 'modifiable risk factors'. I don't know whether I should be angry or amused that the #Table2Fallacy is still alive and flourishing among the leading general medical journals!
Yikes, my first paper to review since #CausalIntroCourse and there's a #table2fallacy.... Now desperately trying to find the right level of critique that is thorough & useful but without being, y'know, #reviewer2 *bites nails* 🙈 #statstwitter
@PWGTennant @pash22 @susan_bewley @birthsmalltalk @adweeks @OBSevidence @vk_wilde @inferencelab Never heard of #table2fallacy, but can see that all the putative risk factor associations are confounded by interventions, e.g. labour induction & Caesarean, which can both prevent & cause the composite adverse endpoint. Is that collider bias?
@pash22 @susan_bewley @birthsmalltalk @adweeks @OBSevidence @vk_wilde @inferencelab @jimgthornton I saw this. The term 'risk factors' is always a red flag for possible #Table2Fallacy. This is almost a textbook example. I'm afraid the study is essentially meaningless.
Great action shot of me summoning the spirit of @EpidByDesign (with help from @MaartenvSmeden's great meme on #Table2Fallacy)!
I am the annoying reviewer 🙁
One advice:
NEVER INTERPRET ALL VARIABLES INCLUDED IN A MULTIVARIABLE REGRESSION MODEL!
#table2fallacy
.@GeorgiaTomova introduces #DirectedAcyclicGraphs, adjustment sets, and the #Table2Fallacy on Day 1 of the #CausalIntroCourse!
#EpiTwitter #CausalTwitter
"One of the most widespread, serious, yet easily avoidable errors in applied health research"
Delighted to be delivering a session with Dr Liz Hensor at the @NIHRStatistics Group Conference (22-23 June 2023) on... the #Table2Fallacy!
https://t.co/BpRXd179mV
#EpiTwitter
We discussed two common reviewer critiques of #DescriptiveEpi studies
1⃣: "you need to adjust for xyz"
Some caveats to this include #Table2Fallacy
I'm not 'famous', but I've published a paper that contains both a #Table2Fallacy and a glaring example of #CompositeVariableBias!
I use this in my teaching, to show that we're all learning and there's no shame in admitting past mistakes!
https://t.co/soAhvLlldD
Who of the famous people in the field would be ready to publicly talk about their non-rigorous research in the past? I think that few people have ever published 10 papers without major rigor issues in at least one of them. Let's normalize talking about rigor.
@MikeLaValley8 @BU_BMC_Rheum Finally, #Table2Fallacy
Table 2 is often used to show the adjusted results of the exposure
Variable types are highlighted in this Table 1:
🔹Exposure of interest in blue
🍎Outcomes in red
🍏Confounders (that were adjusted for) in green
#ACR22
Preview: There will be an intro/refresher on the #Table2Fallacy
Are YOU committing the #Table2Fallacy? Tune in to find out
#ACR22
coming in 10 minutes: 13S111. Critical Eye: How to Interpret Findings from Scientific Papers with @HiralMaster @MikeLaValley8 and Alyssa Dufour. #ACR22
"an eye for an eye and a tooth for a tooth" or maybe "an eye for a tooth"...
Dental caries and periodontitis and the risk of myopia.
(yes, I also thought I was looking at it wrong when I read the title)
#table2fallacy
#Dichotomania
https://t.co/QbvHST7zM6
When I review papers these days, I end up giving a bunch of papers on immortal time bias, #Table2fallacy, DAGs, etc.
@zeynep If you dont like the comparison between them, take it up with the OP. All I care about here is the damage that the #Table2Fallacy has done, during the pandemic & otherwise.
For example, see: https://t.co/7sZSDZtpDO
This is a good discussion on what's called a #Table2Fallacy. Whew -- I'm super glad that we in #ecology and #geography don't have to worry about this*!
[*sarcasm]
This was ALWAYS #Table2Fallacy. But it was *obvious* smoking wouldn't be protective. The concern is how many Table 2 Fallacies occur that are not obvious... 🤔
@TheMooreLab @EpidByDesign It's difficult to fully understand #Table2Fallacy or #ColliderBias without learning about causal diagrams. @GeorgiaTomova and I would love to have you attend the #TuringCausalSchool, although we know (sadly) that epidemiology is not really your area.
@TheMooreLab @EpidByDesign #Table2Fallacy is a problem not just because the coefficients do not represent total causal effects, but because there is a high risk of #ColliderBias, which can massively distort the apparent relationship between variables, most notoriously leading to changes in sign!
@TheMooreLab The #Table2Fallacy is the practice of (mis)interpeting the coefficients in a multivariable 'prediction' model as if they represent 'independent effects'. Described in @EpidByDesign's paper (https://t.co/WUnaz1Kurk) it is probably the most common mistake in applied health research
@TheMooreLab The #Table2Fallacy is the practice of (mis)interpeting the coefficients in a multivariable 'prediction' model as if they represent 'independent effects'. Described in @EpidByDesign's paper (https://t.co/WUnaz1Kurk) it is probably the most common mistake in applied health research
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