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The group collectively recognizes the article's critique of common myths, such as univariate screening, and discusses alternatives supported by multiple references, reflecting a thorough understanding and a desire to improve research methodology. Words like 'bad idea', 'not good', and references to authoritative papers highlight the critical and impactful tone of the discussions.
Most discussions strongly concur with the article, emphasizing that traditional variable selection methods like univariate screening are often problematic and should be avoided.
Participants demonstrate high interest by referencing multiple detailed papers, formulas, and sharing insights about the myths surrounding variable selection.
There is deep engagement evidenced by referencing specific studies, debating methodological nuances, and sharing personal opinions on best practices.
The discussions have high impact as they seem to influence research practices, with many advocating for rethinking standard variable selection strategies in applied research.
@coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2) stepwise too, for better guidance see: https://t.co/AZ2CjbllVH 3) with multivariate people typically mean to say multivariable
@ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf https://t.co/fR6fN2YV6k https://t.co/NSG7srb7xL
1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "screened" for significance. Often does more harm than good, so don't bother doing or worry about it https://t.co/fR6fN2HkeM
Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoided* for nearly all applications imaginable, e.g. see: https://t.co/qJiQHkvKOH https://t.co/AZ2CjbllVH https://t.co/mznJoAWzi2
@statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection lately: https://t.co/GULxJFAbyM … and https://t.co/GULxJFAbyM … https://t.co/NFKm2kXY6Z
Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve analyses https://t.co/qJiQHkvKOH https://t.co/OmENQ1msTc
This lecture provides an overview of recent reviews on variable selection in epidemiology, highlighting ongoing reliance on traditional methods like stepwise analysis and advocating for improved practices using causal…
This lecture discusses the importance of referencing when selecting variables, highlighting current practices and potential improvements in epidemiological variable selection methods.
RT @hommedefer3: @naka_takaya Steyerberg先生の本でも明確に避けるべきとは書かれていないように思いますが、ステップワイズと同じ問題があることは明記されてますね。 このレビュー↓でも予測観点でも単変量スクリーニングは推奨されてないです。 h…
@naka_takaya Steyerberg先生の本でも明確に避けるべきとは書かれていないように思いますが、ステップワイズと同じ問題があることは明記されてますね。 このレビュー↓でも予測観点でも単変量スクリーニングは推奨されてないです。 https://t.co/x73dLhKHvC そこで引用されてる文献↓ https://t.co/HemVvDxsvz
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
@CareerPharm ここらへんですかね？ https://t.co/pfnpS1qgLl https://t.co/9kbSpUrwiq
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
@manuel_carnero @cirujano_cardio Este paper es una buena lectura https://t.co/JPutqDKZCr El libro de referencia para prediction modeling es "regression modeling strategies" de Harrell, y este capítulo es un buen comienzo. https://t.co/i8qtcHnQk5
@andersskyrud @trumanfrancis @statsepi It's well know this is problematic https://t.co/qJiQHkvKOH
@HelenFry1 @Donato29708932 @Richard_D_Riley Please find here two further refs: https://t.co/ZGDjtQ9Hfm And https://t.co/NloWPm7Lr9
@Georg__Heinze, just read your Review. Which is preferable? 1) full model, remove all insignificant predictors (sequentially or all at once? which cut-off?) until only significant predictors are left 2) full model and select predictors using P < 0.157 https://t.co/feIAwn6J4A
RT @Georg__Heinze: @fathus44 Basically explained here: https://t.co/NloWPlQazB
RT @MaartenvSmeden: Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve an…
RT @MaartenvSmeden: @JanFWeller @JustinWilkins Yes: https://t.co/qJiQHkvKOH
RT @MaartenvSmeden: @JanFWeller @JustinWilkins Yes: https://t.co/qJiQHkvKOH
RT @MaartenvSmeden: @JanFWeller @JustinWilkins Yes: https://t.co/qJiQHkvKOH
RT @MaartenvSmeden: @JanFWeller @JustinWilkins Yes: https://t.co/qJiQHkvKOH
@JanFWeller @JustinWilkins Yes: https://t.co/qJiQHkvKOH
RT @MaartenvSmeden: Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve an…
RT @MaartenvSmeden: Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve an…
RT @MaartenvSmeden: Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve an…
RT @MaartenvSmeden: Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve an…
Data driven variable selection - unlike popular views, removing variables that are "not significant" may not improve analyses https://t.co/qJiQHkvKOH https://t.co/OmENQ1msTc
@fathus44 Basically explained here: https://t.co/NloWPlQazB
@EpiSconroy https://t.co/aRg6MNvFCU
RT @MaartenvSmeden: @alwynkotzee @mababyak @trumanfrancis https://t.co/qJiQHkvKOH
@alwynkotzee @mababyak @trumanfrancis https://t.co/qJiQHkvKOH
@DrBenMoran @load_dependent @iceman_ex Hear hear. And even *if* you think variable selection is a good idea, please forget about univariable selection https://t.co/qJiQHkNlGf
RT @stroke_methods: Variable selection approaches are often employed in stroke research. Great article below on five myths.⭐️ Myth #1: Onl…
Variable selection approaches are often employed in stroke research. Great article below on five myths.⭐️ Myth #1: Only variables with proven univariable-model significance should be included in a model ❌ Read more here⬇️ https://t.co/odMkGEElR6
RT @Georg__Heinze: @MaartenvSmeden https://t.co/ChwL3iGk62
@MaartenvSmeden https://t.co/ChwL3iGk62
RT @triadsou: @Shuntarooo3 Five myths about variable selection. Georg Heinze, Daniela Dunkler. https://t.co/BS6VkqIci9
@Shuntarooo3 Five myths about variable selection. Georg Heinze, Daniela Dunkler. https://t.co/BS6VkqIci9
Five myths about variable selection https://t.co/GWOvLNzQkp
@JLRohmann Depends on field. Medical/epi papers: https://t.co/NloWPlQazB Statistical papers: https://t.co/NloWPlQazB
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
RT @MaartenvSmeden: 1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "…
1) As a precursor to multivariable analyses, the associations between each individual covariate and outcome are often "screened" for significance. Often does more harm than good, so don't bother doing or worry about it https://t.co/fR6fN2HkeM
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
RT @MaartenvSmeden: @coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2)…
@coenen_pieter 1) univariate screening is a very, very bad idea in almost all circumstances: https://t.co/qJiQHkvKOH 2) stepwise too, for better guidance see: https://t.co/AZ2CjbllVH 3) with multivariate people typically mean to say multivariable
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
@MaartenvSmeden 5 myths with NO! according to @Georg__Heinze "Often there is no scientific reason to perform variable selection." https://t.co/Ifvzcfx3rs
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
RT @MaartenvSmeden: Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoid…
Given the interim results and questions, I think it is worthwhile to point out that univariate screening is best *avoided* for nearly all applications imaginable, e.g. see: https://t.co/qJiQHkvKOH https://t.co/AZ2CjbllVH https://t.co/mznJoAWzi2
RT @GSCollins: @danrhon @TenanATC @Nrupen @DrGSBullock Two good papers on the topic of variable selection that discuss many issues (includi…
RT @MaartenvSmeden: @GSCollins @danrhon @TenanATC @Nrupen @DrGSBullock I would add this nice and more recent article by @Georg__Heinze un…
RT @MaartenvSmeden: @GSCollins @danrhon @TenanATC @Nrupen @DrGSBullock I would add this nice and more recent article by @Georg__Heinze un…
RT @MaartenvSmeden: @GSCollins @danrhon @TenanATC @Nrupen @DrGSBullock I would add this nice and more recent article by @Georg__Heinze un…
RT @GSCollins: @danrhon @TenanATC @Nrupen @DrGSBullock Two good papers on the topic of variable selection that discuss many issues (includi…
RT @GSCollins: @danrhon @TenanATC @Nrupen @DrGSBullock Two good papers on the topic of variable selection that discuss many issues (includi…
RT @MaartenvSmeden: @GSCollins @danrhon @TenanATC @Nrupen @DrGSBullock I would add this nice and more recent article by @Georg__Heinze un…
@GSCollins @danrhon @TenanATC @Nrupen @DrGSBullock I would add this nice and more recent article by @Georg__Heinze univariable selection: not providing benefits at best, destroys the analysis at worst https://t.co/fR6fN2HkeM https://t.co/MvlMyCaiI5
@danrhon @TenanATC @Nrupen @DrGSBullock Two good papers on the topic of variable selection that discuss many issues (including variable screening) are https://t.co/9iF9BcrZ9c and https://t.co/Uq6s4lhBy1
RT @Richard_D_Riley: Other refs: Sun et al. (1996). Inappropriate use of bivariable analysis to screen risk factors for use in multivariabl…
RT @Richard_D_Riley: Other refs: Sun et al. (1996). Inappropriate use of bivariable analysis to screen risk factors for use in multivariabl…
RT @Richard_D_Riley: Other refs: Sun et al. (1996). Inappropriate use of bivariable analysis to screen risk factors for use in multivariabl…
RT @Richard_D_Riley: Other refs: Sun et al. (1996). Inappropriate use of bivariable analysis to screen risk factors for use in multivariabl…
Other refs: Sun et al. (1996). Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis. Journal of Clinical Epidemiology, 49, 907–916 Heinze & Dunkler. (2017). Five myths about variable selection. Transplant International, 30, 6–10.
@fracardo @MedUni_Wien And as a starter I propose this one: https://t.co/ChwL3iGk62
RT @MaartenvSmeden: @SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) conf…
RT @MaartenvSmeden: @SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) conf…
RT @MaartenvSmeden: @SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) conf…
RT @MaartenvSmeden: @SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) conf…
RT @MaartenvSmeden: @SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) conf…
@SoniaBoender @YourPaperSucks @elizabethsmout 1) univariable selection = not good idea: https://t.co/qJiQHkvKOH 2) confounder selection is complicated: https://t.co/bqgFN2udlz 3) interpreting anything after variable selection is complicated: https://t.co/5Sye6cIcD2
@thenasheffect @ASCO @PGrivasMDPhD @uwurology @SeattleCCA @fredhutch @LDiamantMD @bilenma @sonpavde @MattGalsky @MonikaJoshimd @PedroIsaacsson Thank you! Re your q’s: 1. p<0.2 for univariate and 0.05 for mva. I don’t think there is a strict rule of p value for variable selection - see myth 5 here - https://t.co/h78KQ8gK5A 2. NLR and ANC were not included together. Table 3 in poster shows me testing both ANC and NLR.
the number of social science professors and grad students we see doing and encouraging this... #tryagainpsych https://t.co/Tj3zbbBAJf
@PhDemetri It means your reviewer believes in at least one or two myths about variable selection, unfortunately! https://t.co/R6Dwjt3CSn
@PhDemetri See Myth #2 in this paper in easy medical practitioner language: https://t.co/SNpQppz0qL maybe helps
RT @laure_wynants: @ChristosArgyrop @f2harrell @stephensenn @ADAlthousePhD @Georg__Heinze has written it down for applied researchers and m…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
RT @MaartenvSmeden: @ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf…
@ADAlthousePhD I really like these four papers: https://t.co/bqgFN2LOd7 https://t.co/HFtgA2RGAj https://t.co/AZ2CjbCWNf https://t.co/fR6fN2YV6k https://t.co/NSG7srb7xL
RT @MaartenvSmeden: @FustoloSusanna This, for instance: https://t.co/fR6fN2HkeM https://t.co/xHb2vyjLvm
RT @MaartenvSmeden: @FustoloSusanna This, for instance: https://t.co/fR6fN2HkeM https://t.co/xHb2vyjLvm
RT @MaartenvSmeden: @FustoloSusanna This, for instance: https://t.co/fR6fN2HkeM https://t.co/xHb2vyjLvm
RT @JFronczekMD: @ValirieAgbor You might find this paper interesting: „Five myths about variable selection.” https://t.co/UcszM9EqvP
@ValirieAgbor You might find this paper interesting: „Five myths about variable selection.” https://t.co/UcszM9EqvP
@PhDemetri Horseshoe priors work fine, but are not easy to implement. Impossible for med studs. Is VS really needed? See our papers https://t.co/kR1zXMGNiD and https://t.co/R6Dwjt3CSn
@laure_wynants @ChristosArgyrop @f2harrell @stephensenn @ADAlthousePhD @Georg__Heinze I use the same paper: „Five myths about variable selection”. It does the trick!
RT @laure_wynants: @ChristosArgyrop @f2harrell @stephensenn @ADAlthousePhD @Georg__Heinze has written it down for applied researchers and m…
@ChristosArgyrop @f2harrell @stephensenn @ADAlthousePhD @Georg__Heinze has written it down for applied researchers and might know of any statements from societies https://t.co/aRg6MNvFCU
@MaartenvSmeden @ADAlthousePhD @htubbscooley_RN @EpiEllie While we're writing on such a piece, consider myths 1 and 2 of https://t.co/R6Dwjt3CSn
RT @MaartenvSmeden: @statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection latel…
RT @MaartenvSmeden: @statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection latel…
RT @MaartenvSmeden: @statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection latel…
RT @MaartenvSmeden: @statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection latel…
@statsepi These are good references, Darren. I also like what @Georg__Heinze has written about variable selection lately: https://t.co/GULxJFAbyM … and https://t.co/GULxJFAbyM … https://t.co/NFKm2kXY6Z
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