RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
“If you have nine people…and you get a statistically significant result, it means there’s a strong effect” Horvath is wrong about that logic see super false stats folly that's distorted much research https://t.co/qB7Tg9MH1v
@liamjdrew re that strong effect quote see Amrhein et al, Nature, 2019 "several generations” of scientists misapplying statistical significance tests = “considerable distortion of the scientific process" https://t.co/qB7Tg9MH1v
@GuyProchilo @Picanumeros “Compatibility intervals” may be the way to say it now. https://t.co/CJLlIUKjez
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
Scientists rise up against statistical significance. So basically the author is saying “statistical significance” se ma se P-value. https://t.co/DAV41gVisP
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
@EpiSconroy @CliffJoseph89 this article is a couple years old but very relevant to our discussions this past week!
Out with old! Time for new terminologies and designs
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
RT @NeonatalResearc: Couldn't agree more! https://t.co/vXntl7zqQl
Couldn't agree more! https://t.co/vXntl7zqQl
Perfect read for this Saturday morning☕️☕️☕️
Scientists rise up against statistical significance https://t.co/XkLmylflmK
@dailyzad @learnfromerror @Lester_Domes Our article https://t.co/VUeUnibR7D has a section titled “Don’t Blame the P-value”. In https://t.co/CTesqcX8XV we say three times that we don’t want to ban the P-value. “Retire” ≠ “Ban”. A useful discussion would req
@eric_seufert Will read the paper but as an aside this has been an ongoing debate in scientific research. https://t.co/lOmYSA1BSx vs https://t.co/gd8trMTUag
RT @_slug__life_: @BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying r…
RT @_slug__life_: @BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying r…
Estadística e interpretación de resultados en medicina, ¿existen limitaciones? Lectura para discutir 👇 https://t.co/WyY3ntGZLF
Damn right!
RT @_slug__life_: @BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying r…
Interesante reflexión sobre el valor P en resultados estadísticos en las publicaciones científicas en la toma de decisiones. Es más, su uso -abuso?- en definitiva no tributa en lo absoluto en las decisiones económicas, políticas, ambientales o normativas.
When was the last time you heard a seminar speaker claim there was ‘no difference’ between two groups because the difference was ‘statistically non-significant’? https://t.co/v3R3wZQS3J
RT @_slug__life_: @BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying r…
RT @_slug__life_: @BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying r…
@BroyleTim @DrMiguelPerales @drdrsteph @MigsRunner @bodyradgal @NColemanMD @DrBonesMD @jeremyfaust @MDaware Classifying results into a dichotomy of statistically significant or not statistically significant should make your eyes roll even more, fyi 🙂 https
"People will spend less time with statistical software, and more time thinking." Scientists rise up against statistical significance https://t.co/s73tjPcMtQ
Scientists rise up against statistical significance https://t.co/Abj6xDVmlE
Aunque reconozco que a mí me gustan....:)
I mean I get that saying "there is no association" or whatever is bad bc people will read that as saying it's disproven but this is silly
@szymkowiakj @RafaZwolak Moreover, there is an important difference: the first statement (about significance by @RafaZwolak) is a misinterpretation, so it could be solved by proper education, see https://t.co/8YuXlbktJ2, while the evidence fallacy is actu
いろいろ大事なことを言っている https://t.co/AOJtCjA83r
@Beth_macshack @StefanieMuff @CamilleRstj @SDobney2 @JaclynAubin @Nati_SanchezU @iBioUWindsor @ScienceUWindsor @UWindsor Yes: a good read! It pairs well with @vamrhein et al's article "Retire statistical significance": https://t.co/Gw5NLcRiRa And also with
RT @alexandrosM: Now, I hear what you're saying. "It crossed the 1 line!", "It wasn't statistically significant!". I'd agree with you, if n…
Now, I hear what you're saying. "It crossed the 1 line!", "It wasn't statistically significant!". I'd agree with you, if not for 2 important details. First, this is called the "bright line fallacy" and is a misunderstanding of how statistics work. https://
RT @Andy_Bloch: @vamrhein Is there a list of COVID-19 papers that wrongly interpret non-significance? Here's a recent one that concluded "w…
@eneldiluvio @AtulBaliMD @ChristosArgyrop The best they could say was "we did not find a statistically significant difference." They did not test for "no statistically significant difference." Read up on the difference. Here's one article: https://t.co/Op
@Janjean15 Nope. The frequentist formalism excludes probabilities of hypotheses from consideration. Since those probabilities are we often want in practice, there is a fertile ground for persistent misunderstandings. https://t.co/5aDxz1ktD5
RT @GuyattGH: 5 I’ve recently been highlighting how people so often mistakenly interpret failure to show a difference as demonstrating tha…
Scientists rise up against statistical significance https://t.co/lBTajCO9jf #AcademicTwitter https://t.co/QtGDTmp2Wg
@Leftylockdowns1 @anish_koka This type of knowledge is not exactly their cup of tea 😉 Unfortunately it is too often observed in medical and Public Health studies https://t.co/zuToucI1eu https://t.co/J7Mbc8KKj2 https://t.co/7yuwW2O423 Public Health "ex
RT @dario_ssm: Me hubiera gustado haber leído estas discusiones como estudiante en la asignatura y no después de leer muchos papers y haber…
Me hubiera gustado haber leído estas discusiones como estudiante en la asignatura y no después de leer muchos papers y haber caído en esa dicotomizacion de la significación estadística. Muy recomendable leer de vez en cuando estas cosas
『その論文の著者は、#物理学 学士(優等生)#医学物理学 博士である #コーネル大学 #獣医学部 @cornellvet 研究准教授 [https://t.co/98CY3cK9mQ] ですので、その誤りが #数学 的な能力の欠如が原因かは疑問です。彼は [https://t.co/x81ZCsf4oO] を読むべき』名誉教授 @UCLA https://t.co/geuQXhEOLG
“more than 800 signatories call for an end to hyped claims” A little ironic this came out just before iconic big maths fantasist Neil Ferguson hyped up a proper shit storm. Scientists rise up against statistical significance https://t.co/L6qlNrLtXp
@ShakiraMilton The p-value doesn’t matter much now: https://t.co/7QTqfScb9A
RT @GuyattGH: 5 I’ve recently been highlighting how people so often mistakenly interpret failure to show a difference as demonstrating tha…
RT @GuyattGH: 5 I’ve recently been highlighting how people so often mistakenly interpret failure to show a difference as demonstrating tha…
Could retiring statistical significance promote bias? https://t.co/Sy4880m2E0
I'm particularly pleased that we evaluated equivalence/non-inferiority with this piece. On this topic, we addressed the common problem where authors assume similarity when p>0.05. @lakens 's work was quite helpful in navigating this thorny issue. ht
Scientists rise up against statistical significance https://t.co/8206zfvmNg
If this person gets statistics wrong, can you imagine how many others have it even worse but still go around overconfident and arrogant about what they think they know? Ignorant of ignorance is a terrible thing, so is the ignorant who doesn’t care.
@mauveTriforce @JSaulie @Mephiston @kemu808 Also, the issue of "statistical significance" is highly controversial in the scientific community, as this petition signed by 800 scientists explain... https://t.co/rFxeGY0TTW
@kovidiots @LTzivian @savaadaak Nu atver palasi kas tas ir :) Piemēram šis: https://t.co/UaIfUJrK4b ;) Uz šo rakstu ir atsauce, kurš pats ir balstīts uz piemēram: Fisher, R. A. Nature 136, 474 (1935)., Lehmann, E. L. Testing Statistical Hypotheses 2nd edn
Remember to judge replication based on effect estimates, not p values! https://t.co/HLApIayZNu https://t.co/igCZtJH501
RT @GuyattGH: 5 I’ve recently been highlighting how people so often mistakenly interpret failure to show a difference as demonstrating tha…
RT @GuyattGH: 5 I’ve recently been highlighting how people so often mistakenly interpret failure to show a difference as demonstrating tha…
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
Interesting read https://t.co/Au1cNgcWb4
RT @MichaelEDrew: Statistical significance? > “Scientists rise up against statistical significance” via @Nature https://t.co/YabT1tBvcG htt…
Statistical significance? > “Scientists rise up against statistical significance” via @Nature https://t.co/YabT1tBvcG https://t.co/OyHdbfYHL3
Scientists rise up against statistical significance https://t.co/Bbl8l5GDwi
RT @AlistairHaimes: "We call for the entire concept of statistical significance to be abandoned... we are calling for a stop to the use of …
Si lee estudios estadísticos, se habrá topado con la idea de q algunos resultados son "estadísticamente significativos" y otros no. Este artículo de Nature expresa la opinión cada vez más popular de que la significación estadística es un concepto inútil &g
Scientists rise up against statistical significance https://t.co/6oxM4AmM5J
Very interesting read but candidly need to digest it. Would love to read from experts in the field. Scientists rise up against statistical significance https://t.co/bxdXMUfziz
RT @thfridrich: Not as trivial as it seems - statistically significant’ and ‘statistically non-significant’ 🧮 📊 https://t.co/8iNAn7wzW3
RT @AlistairHaimes: "We call for the entire concept of statistical significance to be abandoned... we are calling for a stop to the use of …
RT @AlistairHaimes: "We call for the entire concept of statistical significance to be abandoned... we are calling for a stop to the use of …
"to retire statistical significance and to use confidence intervals as compatibility intervals is not a panacea. Although it will eliminate many bad practices, it could well introduce new ones. Thus, monitoring the literature for statistical abuses should
"We call for the entire concept of statistical significance to be abandoned... we are calling for a stop to the use of P values in the conventional, dichotomous way." Interesting short read https://t.co/9Mx1IiYf6F
RT @thfridrich: Not as trivial as it seems - statistically significant’ and ‘statistically non-significant’ 🧮 📊 https://t.co/8iNAn7wzW3
Not as trivial as it seems - statistically significant’ and ‘statistically non-significant’ 🧮 📊 https://t.co/8iNAn7wzW3
Ahhh...memories of the debates in the old days. https://t.co/lp9nD946w1 https://t.co/HqTtnKU8if
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
RT @YaseenarabiYa: Scientists rise up against statistical significance https://t.co/sUdVI3HkLp
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
Тим часом я нагадаю про серйозні проблеми при роботі зі статистикою, зокрема в медицині, що вже призводило до трагічних наслідків. https://t.co/mg4jMpSU9c
للباحثين: Scientists rise up against statistical significance..! https://t.co/oxCYUVEfIl
RT @rodriguezc_mary: Viejo, pero cada vez más vigente 👇 https://t.co/pXPLUv6WAZ
Viejo, pero cada vez más vigente 👇 https://t.co/pXPLUv6WAZ
Scientists rise up against statistical significance https://t.co/lxFsp4dkxs
@AndrosSpica And here's a very short summary! https://t.co/CTesqcX8XV
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
RT @jrdelbrio: Lo estadísticamente significativo.... Scientists rise up against statistical significance https://t.co/1VUOcpw2KW
RT @jrdelbrio: Lo estadísticamente significativo.... Scientists rise up against statistical significance https://t.co/1VUOcpw2KW
RT @Schellongowski: „The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific…
Lo estadísticamente significativo.... Scientists rise up against statistical significance https://t.co/1VUOcpw2KW
RT @YaseenarabiYa: Scientists rise up against statistical significance https://t.co/sUdVI3HkLp
„The misuse of statistical significance has done much harm to the scientific community and those who rely on scientific advice. P values, intervals and other statistical measures all have their place, but it’s time for statistical significance to go.“ Read