The ASA Statement on p-Values: Context, Process, and Purpose

https://t.co/NiI8YgEfpD https://t.co/9J0A4tRbds

@janetrosenbaum @dingding_peng Then that needs to change. https://t.co/w1M76BiIqX

@lakens @ElserHolly That's an accusatory cautionary statement. I read the conclusion of the Rothman paper differently from how you state. It's in line with the 2016 ASA statement: the interpretability of a finding should not be based on meeting a critical

Nachtrag zu #Lanz vom Donnerstag: Sehr geehrter Herr #Lesch: statistische Signifikanz bedeutet NICHT real-weltliche Signifikanz. Zum Nacharbeiten empfiehlt sich z.B. Wasserstein & Lazar (2016), https://t.co/6OzcFkzRi0 VG 🖖 #HaraldLesch #alenabuyx #diet

Every clinical researcher should read it! The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/GDQYTtsZqz

@ceptional I presume you've already gone over the ASA statement on p-values? Not just the article, but the 20-odd commentaries in the supp. materials have multiple perspectives that may be helpful... https://t.co/ZJwTyCo3ty

Q: Why do so many colleges and grad schools teach p=0.05? A: Because that's still what the scientific community and journal editors use. Q: Why do so many people still use p=0.05? A: Because that's what they were taught in college or grad school. (from ht

@AhmadMansour__ Bei derartigen Stichprobengrößen mit p-Werten zu argumentieren, ist ungeachtet der Ergebnisse auch immer wieder lustig zu beobachten 😆(https://t.co/BXlvQoX69l). Aber gut, Effektstärken kann man ja selbst nachrechnen.

We did learn about confidence intervals, critical values, and p-values, but also discussed the ASA principles on the importance of context, process, and purpose. We discussed confounds and considering how data was collected. https://t.co/gC34QKDAn0

@UlissesPSampaio @REPENTBRUH @schmittpaula @acsgomes @rimfo @marcelofnalves Aqui está: https://t.co/pimxovhNuz

یه چیزی که توی سنجی استفاده میشه معنی داری هست از طریق p-value این مقاله رو بخونید Full article: The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/bGPmqjClBm https://t.co/DG401vnfXf

RT @dylanarmbruste3: https://t.co/QObLMk9e4c

https://t.co/QObLMk9e4c

@westwoodsam1 After reading this piece on p-values https://t.co/TitfIklm6b, I somehow got @TheNewStats in my recommendations.

https://t.co/LjEMGgsWZn

"The ASA's Statement on p-Values: Context, Process, and Purpose" Ronald L. Wasserstein & Nicole A. Lazar(2016) https://t.co/dRCCtfCSKd

@BaileyDeBarmore @kareem_carr Also here https://t.co/anqoumgQYU

RT @stroke_methods: ⭐️ Did you know ?⭐️ ⛔️ P-values do not measure the probability that the data were produced by random chance alone. ⛔️…

⭐️ Did you know ?⭐️ ⛔️ P-values do not measure the probability that the data were produced by random chance alone. ⛔️ Learn more in the 2016 American Statistical Association statement on p-values.⬇️ https://t.co/Mj0LulvTGP

@tiffany_peltier @emilyjsolari IMHO, no. The American Statistician had a great special issue in 2019 on, "Statistical Inference in the 21st Century: A World Beyond P<0.05". Good set of studies to consider. Here also is the ASA statement on pvalues: htt

@cynmcsweet https://t.co/BIGjALYWBG

Wasserstein, Ronald L., and Nicole A. Lazar. "The ASA statement on p-values: context, process, and purpose." (2016): 129-133. https://t.co/ZdiN8Zb9Fy

@25_cycle @NightflyThe @Godcomplex83 @GVDBossche Actually statisticians (practitioners and academics) are strongly encouraging everybody to move beyond p-value as primary (sole) metric of statistical significance. See recent statements from American Stat

@luisepisegura @dyctiostelium @Ad_SotoMota @cochranecollab Así es, ésa es otra discusión: https://t.co/qTmAvNxSq5

RT @DalsonFigueired: @leofn3 @barbalhofernand Leonardo, em português só material na área de saúde. Tem esse artigo, que o título é excele…

RT @DalsonFigueired: @leofn3 @barbalhofernand Leonardo, em português só material na área de saúde. Tem esse artigo, que o título é excele…

RT @DalsonFigueired: @leofn3 @barbalhofernand Leonardo, em português só material na área de saúde. Tem esse artigo, que o título é excele…

@leofn3 @barbalhofernand Leonardo, em português só material na área de saúde. Tem esse artigo, que o título é excelente, mas talvez não seja tão básico: <https://t.co/fFuBqLVD5y > Eu acho que é uma boa tb ver a posição oficial da ASA https://t.co

@leofn3 @barbalhofernand Leonardo, em português só material na área de saúde. Tem esse artigo, que o título é excelente, mas talvez não seja tão básico: <https://t.co/w11bngQ9fn> Eu acho que é uma boa tb ver a posição oficial da ASA https://t.co/

@Nibor_Tolum BTW : https://t.co/QvSonSu9Y9

@MarcelAMller @c_drosten @LancetMicrobe @ChariteBerlin @DZIF_ @GoffinetLab https://t.co/BrdPv5ICFL Es sind in der Medizin zu häufig die gleichen Fehler. Es werden p-Werte verwendet ohne überhaupt deren Sinn und Zweck zu kennen. Sig. Tests sind keine Estima

実際P値だけで有意性を判断することなんて無いし言ってることは正しいのでは？ASAの論文でも言われてるとおりP値が大きいことが帰無仮説を採択することにはならないと思うんだけど https://t.co/tLJtz5a20j

RT @OsamaAlsendi: @lucasmorin_eolc Enjoyed reading your replies on the reviewers. Here is the ASA statement for the p-value issues: https:/…

@lucasmorin_eolc Enjoyed reading your replies on the reviewers. Here is the ASA statement for the p-value issues: https://t.co/goBod0W32j

All in all: A p-value DOES NOT provide a good measure regarding a MODEL or hypothesis. https://t.co/vtaJKOBWxw

Q: Why do so many colleges and grad schools teach p = 0.05? A: Because that’s still what the scientific community and journal editors use. Q: Why do so many people still use p = 0.05? A: Because that’s what they were taught in college or grad school. http

"No single index should substitute for scientific reasoning” (Wasserstein & Lazar, 2016, p. 132). https://t.co/PeAELcu6VH https://t.co/hwIarjKgq2

@ProfMattFox @dianabuist @TimothyLash I quote some combination of: ASA statement: https://t.co/3WZ2m9v0w6 Amrhein et al Nature letter: https://t.co/uWR3kvt8Hr Greenland et al 2016: https://t.co/V8GOwywjp4

@tkaiser_science @BeneckeCord @psych_ffm @PsychoanaMainz P-values sind mehr oder minder willkürlich gesetzte „Grenzen“ der „Relevanz“. Man sollte sich gelegentlich fragen, worum geht es hier eigl? Um die Gesundheit eines Großteils Bevölkerung und um die p

RT @quocdngu: @JeanPatrickT @EssiColo @clicjf Je tweete celui-ci fréquemment ces derniers temps. https://t.co/68IpJ1u0DE.

@JeanPatrickT @EssiColo @clicjf Je tweete celui-ci fréquemment ces derniers temps. https://t.co/68IpJ1u0DE.

@MoreauMD @EmergencyBlog @LussiD En fait, les épidémiologistes les plus à jour (à mon avis ± humble ici!) ont complètement renoncé au p = 0.05. Idem pour les biostatisticiens. https://t.co/68IpJ1u0DE.

RT @DalsonFigueired: Nunca se falou tanto em p-valor! Segue o link do statement da American Statistical Association sobre o assunto https…

@martintetaz @ETagliazucchi @rquiroga777 Para más referencias, ver https://t.co/QAjqaq474g

@lautilujann @Andrea_Gentil La cuestión es que el p-valor es un criterio de la ANMAT https://t.co/SM3iIsCGIT al igual que la FDA https://t.co/SvvvCZKobw para decir que un efecto no ha sido demostrado (pero no refutado). https://t.co/VosMIhUgWO https://t.co

@octaviobramajo @fedetiberti @Breogan66 @PabloRichly Perdón! Pensamos que el link iba al statement de la ASA https://t.co/Cue6zk1p0P

Esse negócio de p-value e seu uso é uma coisa tão complexa que em 2016 a ASA (American Statistical Association) publicou um documento inédito em sua história com um consenso de experts sobre como se usar o conceito. Segue o documento. https://t.co/pMIcyCD

@andreeler @t6aguirre que nada, querem é abolir os pvalues https://t.co/c0BDubyxsc

RT @DalsonFigueired: Nunca se falou tanto em p-valor! Segue o link do statement da American Statistical Association sobre o assunto https…

Muito útil!

RT @DalsonFigueired: Nunca se falou tanto em p-valor! Segue o link do statement da American Statistical Association sobre o assunto https…

RT @DalsonFigueired: Nunca se falou tanto em p-valor! Segue o link do statement da American Statistical Association sobre o assunto https…

Nunca se falou tanto em p-valor! Segue o link do statement da American Statistical Association sobre o assunto https://t.co/yiI6c5FlEo Para quem tiver coragem de ir nos fundamentos, tá aqui o trabalho do Fisher https://t.co/AkprZAC88G

RT @leosbastos: @josenalencar Oi Jose, o valor-p é muito polemico mesmo. E apesar de ensinado e apresentado dessa forna ele NAO é a chance…

RT @leosbastos: @josenalencar Oi Jose, o valor-p é muito polemico mesmo. E apesar de ensinado e apresentado dessa forna ele NAO é a chance…

RT @leosbastos: @josenalencar Oi Jose, o valor-p é muito polemico mesmo. E apesar de ensinado e apresentado dessa forna ele NAO é a chance…

@josenalencar Oi Jose, o valor-p é muito polemico mesmo. E apesar de ensinado e apresentado dessa forna ele NAO é a chance de q os resultados daquela amostra tenham sido encontrados ao acaso. Se tiver um tempo dê uma olhada nesse editorial do The American

@Eric_Fauman @SbotGwa With consistent positive beta and the same normal range, I get the same region (i.e. chr17: 38.13M ~ 38.19M). Manhattan plots with p-values on the Y axis are deceptive. Please stop using p-values to indicate the importance or size of

「P値は、特定の統計モデルに対してデータがどれぐらい整合しないかを示すことができるものである」 特に、ここ。 参考までに… https://t.co/J32GgnvVc5

RT @CollJamie: Thanks to @OARSInews for letting me speak at the first OARSI live event! I hope it was helpful. Here are some resources on s…

RT @CollJamie: Thanks to @OARSInews for letting me speak at the first OARSI live event! I hope it was helpful. Here are some resources on s…

Thanks to @OARSInews for letting me speak at the first OARSI live event! I hope it was helpful. Here are some resources on sample size and power. First - the @AmstatNews statement on p-values https://t.co/M0nreGYrbn

... here: https://t.co/AcBEdkWfCD Note particularly principles 2,3,4 and 6. Now compare those to these fails from The Reference Manual on Scientific Evidence (3 ed.): " https://t.co/hxYhtIHXCQ

@signmagazine @HeldLeonhard @SamuelPawel @SimonSchw4b It's meaningless https://t.co/iFkIlXTrRX

@LizzieGadd I disagree with the authors; it's unclear to me how simplistic statistical inference and dichotomous significance tests (which most of us fail to interpret correctly) help us make sense of university rankings https://t.co/DQhsXdee8G https://t.c

@ulmer_rogerio It seems you believe P<0.05 = statistically true. That way of thinking has problems. https://t.co/8FmGvnWTaS

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

RT @JonathanShedler: "The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or impli…

#MondayMotivation #subjectivitymatters #psychoanalysis

"The widespread use of 'statistical significance'... as a license for making a claim of a scientific finding (or implied truth) leads to considerable distortion of the scientific process." —American Statistical Association https://t.co/HfqubezmMy.

@AlyssaHarlow The ASA statement on p-values might be a good response.. and then there's been a lot of articles that are fairly accessible that came after it. (i.e., https://t.co/lOPr8knnu6)

RT @JMarquezP: @JulioTellez @celinefa Como comenta @fazepher, es la primera opción que señalas, Julio. La segunda (probabilidad de observar…

@JulioTellez @celinefa Como comenta @fazepher, es la primera opción que señalas, Julio. La segunda (probabilidad de observar los datos por chance) o probabilidad de estar equivocado (error rate) son incorrectas. Nada como el reporte de @AmstatNews https:/

@BrianNosek @chartgerink @EJWagenmakers @JeffRouder @richarddmorey Like this one: https://t.co/8Vz5wj3Qhp Published years ago under a different publisher: https://t.co/6XJ208Ohym @Ron_Wasserstein: did you add to this Springer collection?

@man_Arihred ここでクソリプを一つ。p値は必ずしも統計検定におけるカットオフとして適切ではないと米国統計局が提言しています。（作品自体は面白いと思いました） https://t.co/6qcvrLKl0i

RT @henning_lars: Good 24 min listen about p-value & article by @Ron_Wasserstein and ASA https://t.co/9zf2YCAwRN . I learnt first time abou…

RT @henning_lars: Good 24 min listen about p-value & article by @Ron_Wasserstein and ASA https://t.co/9zf2YCAwRN . I learnt first time abou…

@elsarood Ninguno. Sólo hay que leer y poner en practica https://t.co/D37lxZ0iS7

Good 24 min listen about p-value & article by @Ron_Wasserstein and ASA https://t.co/9zf2YCAwRN . I learnt first time about Snowbird in Utah. Nice quote :” a low p-value is like a rights wife intend. Its an intrest. It does not mean that you’re ready to

For my researcher friends: "Scientific conclusions and business or policy decisions should not be based only on whether a p-value passes a specific threshold. Proper inference requires full reporting and transparency." Reconsider p < 0.05. https://t.

@kareem_carr The 2016 American Statistical Association Statement on P-values contains much informative material (and is of course not the last word)... https://t.co/U6yUhxwWqX

@ken_rothman https://t.co/y5vH3gU39R #statstwitter #epitwitter

@manes have you assigned this or something similar? My first year stats teacher had a discussion on it that changed my life https://t.co/zMpyJcbcei

@XandaSchofield i dunno, the meaning of a frequentist CI or p-value is really hard to understand. ASA wrote a whole thing addressing the use of p-values and still failed to say what the heck they are. https://t.co/YARcQSTZfN i do agree off-the-shelf easy-

@haahr_larsen Well, there are enough people who know much more about statistics than I, that think we should stop p-vals because they are often misused and misunderstood. I don't know. What I do know is that I like the word "significant" in the common usag

Why we must quit using p-values poorly... p<.05 may not be what you think it is... Must read from the American Statistical Association #responsibleresearch https://t.co/G0mbLR8ugR

I nice discussion on the most common misinterpretations of p-vals is the ASA Statement on Statistical Significance and P-Values: https://t.co/eJ5OtTKUMT

@NoWackyScience @jwato_watson @stephaniemlee 2/ And so and "bright-line thinking" would have considered the Recovery RCT as evidence *against* the existence of the dexamethasone effect On "bright-line" thinking in statistics: https://t.co/TuaXwyNwK9

@paulpharoah @nwe23 @mvholmes @minouye271 @TheLancet I agree with Paul. This from Wasserstein and Lazar (2016) might help... https://t.co/PeAELcu6VH https://t.co/IapAFFroD2

RT @Foreman1David: @deevybee Try this one https://t.co/2n4Pm7p5fG suggest they add a statistician as co author & make sure he only knows pr…

@deevybee Try this one https://t.co/2n4Pm7p5fG suggest they add a statistician as co author & make sure he only knows pre-specified hypotheses. There is an old paper by Julian Faraway which hasn’t been sufficiently recognised as a v early contribution

@MaartenvSmeden @deevybee I like the @AmstatNews statement on pvalues: https://t.co/5fiig4ijfN 4 years old, >3000 citations

ASA's actual statement here: https://t.co/OGbIeSYSHz https://t.co/HYj4bZf5eo

2. Epidemiologists are quite familiar with this phenomenon, as p = 0.05 is treated as the magical bright line by some. If p = 0.049, it is significant and “real”. If p = 0.051, it is insignificant and “not real”. Many have written on this topic ⬇️ https:/