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
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
@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
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
@AnssiRantakari @jarkkotontti Kannattaa tutustua.,mitä p-arvo on ja varsinkin mitä se ei ole. https://t.co/C0IfyfEBNT
「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.
@emmahudsondoyle @ProgPilgrim @kareem_carr Here it is!! https://t.co/BpQAkBluEw
@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:/
@emmavaninwegen LOL, * every estimate, and instead of saying * p < 0.1, say *https://t.co/HaihrUhOH3
@Drjasmine20 هنا بعض التوضيح في المقالين التاليين من ASA، بالإضافة لما اورده @Dr__Melfi قراءه ممتعه https://t.co/Yg2wLzOcYU https://t.co/ajwqyHww5a
@opherdonchin @neuro_data @danilobzdok @ten_photos @twiecki @AmstatNews @learnfromerror @f2harrell My go-to reference for this is the ASA statement on p-values: https://t.co/6DQX3Thv8Q, including the different supplementary materials. They give a nuanced a
@learnfromerror @opherdonchin @neuro_data @danilobzdok @ten_photos @twiecki @AmstatNews @f2harrell I mostly gave up on the convo. The arguments brought forward have been discussed many many times. I find that the ASA statement on p- values (with the acc
@HyloxalusF @lporiginalg @sjwdebates @SingYouToDeath2 in case you are interested in the statement I alluded to above: https://t.co/wN7fig5fhL
@nikolabowden Check out the American Stats Association statement on p-values. 0.05 was never meant to be used as the be all end all of statistical significance. https://t.co/K6PFRwIv7Q
@DrNdeketa @eleanormacp p-values. Don't even get me started. https://t.co/khMFnNfSGS
@rasbt @GaelVaroquaux @twiecki I remember there was a set of guidelines published by ASA highlighting issues and ways to avoid them. I guess this one: https://t.co/Cf7ol14pRu
@covid19_hgi @ceclindgren P-values do not indicate effect size or importance. Here's my attempt at re-doing a manhattan plot for hospitalised vs non-hospitalised, showing "sign(beta) * abs(beta) - 1.96 * beta_sd" as the statistic, and excluding anything t
@frank_pinter @stephkestelman @DinaPomeranz iirc econometrica and aer will no longer have stars in accordance with https://t.co/PeUHawXJN8
RT @jasonmlindo: If you like this piece on framing tests of stat sig (as I do), check out this ASA statement from '16. I especially like Pr…
RT @jasonmlindo: If you like this piece on framing tests of stat sig (as I do), check out this ASA statement from '16. I especially like Pr…
RT @jasonmlindo: If you like this piece on framing tests of stat sig (as I do), check out this ASA statement from '16. I especially like Pr…
RT @jasonmlindo: If you like this piece on framing tests of stat sig (as I do), check out this ASA statement from '16. I especially like Pr…
If you like this piece on framing tests of stat sig (as I do), check out this ASA statement from '16. I especially like Principle 3: researchers should consider the totality of evidence in making inferences, including other studies! #NoOneStudyIsDefinitive
5- Yani doğru hatırlıyorsam, herkesin (herkes derken büyük çoğunluk) p<0.05'te oluyor zannettiği şey, p<0.001 civarı oluyor aslında. ASA (American Statistical Assoc.) yanlış kullanılan p olayı ile ilgili koca bir açıklama yayınladı: https://t.co/msIN
@black_akkadian @roodmood123 @khalideljaaly @NEJM One starting place: https://t.co/nkflMzEebX
There are sometimes I think P-values should be banned since I don't think they are used properly. This article helps with that https://t.co/244UuyTAEB #biostatistics #medicine #medschool #residency #tutor #USMLE #MCCQE1 #exams
The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/Ie8iDbqHhv
@Blooshier @mp3michael @erikbryn Yet another person who doesn't understand the difference between statistical significance and effect size. People might want to read the guidance from the American Statistical Association: https://t.co/29cgaTgcda
@FromPhDtoLife An unfortunate term meaning that the probability of the observed evidence (or a stronger trend) occurring by chance < 5%. Statisticians recommend that this probability (the p value) be interpreted without an arbitrary cutoff (https://t.co
18/ Consider the definition and proper usage of p-values from this REALLY IMPORTANT PAPER. Full article: The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/aufgz77PR7 https://t.co/wNxpPJU38M
The ASA's Statement on p-Values: Context, Process, and Purpose ¿Por qué tanta gente todavía usa p = 0.05? 👇 https://t.co/ouHMxOTAWd
8. Se puede discutir el uso de la p y su errada interpretación en muchos escenarios, pero no con los resultados puntuales de un estudio, menos con un valor 0.059 que no está ni siquiera cerca a la significancia y con un análisis interino! https://t.co/i0r7
RT @MayoMN_IMRES: 3/ ➡️Statistical significance: p < 0.05 (commonly). This does NOT mean the probability the conclusion is false is <5%!…
3/ ➡️Statistical significance: p < 0.05 (commonly). This does NOT mean the probability the conclusion is false is <5%! See this article from @Amstatnews on guiding principles for p-value use (this is a game changer article people): https://t.co/iun
@jw_lockhart On another note, I have a very difficult time explaining p values even to trained social scientists... I send them the American Statistical Association paper about it, but that does not work, generally. https://t.co/ZbtVJxcboW
Lisez aussi cet article qui contredit bcp de sophismes Raoultiens. https://t.co/oL6CgsShgb
RT @B_Tomasik: @piet_ost @drdavidpalma They would not be definitive even when p<0.005. Highly recommend ASA statement which lists 6 princip…
Full article: The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/dfAz4M5UIE
@piet_ost @drdavidpalma They would not be definitive even when p<0.005. Highly recommend ASA statement which lists 6 principles: https://t.co/2rE6WAXEUS We need phase III data and it's great that it's already launched.
@frod_san @rstats4ds Unfortunate that it includes "significance" wording though... https://t.co/K8dut818Nz