@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
ASAがp-value使うのやめへん？って言った経緯と詳細 https://t.co/hM010O1y31
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
@WilliamHDunne @bouledenerfs_ This is not correct, although the mistake is extremely common even among working scientists. From the American Statistical Association statement on the subject. https://t.co/PJrfIerih8 https://t.co/hp6W4rdGyt
@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
@BabaYuuusha اگه علاقه داشتی میتونی اين بيانيهی کوتاه ASA رو بخونی. معمول نيست بيانيه يا گايدلاين بدن مگه اينکه قضيه خيلی جدی باشه: https://t.co/Z6gymx2ZuO "It's science's dirtiest secret: The ‘scientific method’ of testing hypotheses by statistical ana
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.
@lakens Given the trend in statistics away from obsession with p-values and to prevent the misinterpretation your view fosters, I don’t think NEJM or other major journals will be reporting exact values any time soon. https://t.co/LLtDzniFAX
科学的結論ならびに事業または方針の決定は #p値 が特定の閾値を超えたかどうかのみに基づいてはならない：科学的な主張や結論を正当化するために機械的で明確な境界線によりデータ分析や科学的推論を軽減させる実践は間違った信念や不十分な意思決定につながる可能性がある。 https://t.co/HtWkyA1F5X
論説：P値に関するアメリカ統計学会の説明 2016 〜 但し『#P値』は定評のある研究者であっても理解および解釈することが困難である 〜 https://t.co/7LrMYoqbp5
p値に関するASA声明文：文脈・過程・目的 2016 #アメリカ統計学会 (@AmstatNews) #RonaldWasserstein (@Ron_Wasserstein) #統計学的有意性 #P値 https://t.co/9wASNAAstB
『3. 科学的な結論や、ビジネス、政策における決定は、#P値 がある値（訳注: #有意水準）を超えたかどうかにのみ基づくべきではない。』
@frod_san @rstats4ds Unfortunate that it includes "significance" wording though... https://t.co/K8dut818Nz
@gensokyo0326 P hackingは生命科学にたずさわる者なら知っておくべき内容だと思います (悪用出来ると論文を出しやすいから)。 https://t.co/esqdGmaPh0
@Benny_dubs @J_Corky We use it as a binary interpretation, but that’s not how the tool is supposed to be used https://t.co/ywN8DQxuJy
That's a mouthful! But is it really better than the definition of p-value offered by @AmstatNews? https://t.co/Q1Jh03oW9X https://t.co/DkE4joTBDh
@LWestafer @ellis_muggleton @PulmCrit @AnnalsofEM Whilst we are at it @LWestafer can we dispell the p value = statistical significance myth once and for all. The ASA have tried to tell us twice with specific statement paper's on the matter. Like this htt
@LaraPivodic @eolc_research You can always refer them to the American Statistical Association's statement on p-values (top: principle n°2 is key) https://t.co/bzaTIW0OE8
A great supplementary read to this editorial is 'The ASA Statement on p-Values: Context, Process, and Purpose'. https://t.co/STyE0PjGxx "A p-value, or statistical significance, does not measure the size of an effect or the importance of a result."
7. The ASA Statement on p-Values: Context, Process, and Purpose #365papers https://t.co/ay9YUYa4nk
@PeterKilmarx @terraxa1 @MinistryofIndoc @BhumbleHaveF8h @MaimedMann @DanguardThuum @DrTinari @IntactByDefault @Mindofown @WHO @AHRI_News @ftanser @LLopezGonzalez @inaskosana @TheLancet The trial began with an initial sample size of less than 1000 (relativ
Very much enjoyed hearing @Ron_Wasserstein speak about a world beyond p < .05 at @Baylor. Planning to read the ASA's 2016 statement on p-values and their implications for science. https://t.co/b8Jj3P3uLR
@SinanAlper_ NHST popperyan yanlislamacilik midir konusuna artik yoruldugum icin girmeyecegim ama su da burada dursun https://t.co/Acu16KXW4s -p degeri nedir ne degildir hakkinda ASA task force aciklamasi
RT @kg_dobson: The Greenland paper is one of my favourite papers explaining how to correctly interpret p values, confidence intervals, and…
ASA声明の"they may more directly address the size of an effect (and its associated uncertainty) or whether the hypothesis is correct."の「仮説が正しいかどうか」はどういう意味…？ >> The ASA Statement on p-Values: Context, Process, and Purpose https://t.co/zRxsn6l1VD
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @andres_fandino: Aquí hay dos excelentes referencias para revisar, sobre el tema de los valores p y su adecuada interpretación @SaludPub…
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @andres_fandino: Aquí hay dos excelentes referencias para revisar, sobre el tema de los valores p y su adecuada interpretación @SaludPub…
Aquí hay dos excelentes referencias para revisar, sobre el tema de los valores p y su adecuada interpretación @SaludPublicaUV @Univalle_FSalud
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
RT @MaartenvSmeden: A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
A good time to share again two good resources on p values https://t.co/C5QjAKeVa8 https://t.co/FZ6dGefB1l
自分で調べても力不足ではっきりしなかったことを尋ねてみたら生物統計の専門家の方が答えて下さった😭 参考文献もあるから自分でも確認できて更に勉強できる。 なんて素晴らしい日でしょう♪
@izumin_ST 私はあまり意識したことがないので，ちょっと調べた範囲ですが... アメリカ統計協会から出せれたP値の声明を見てみました． 原文はp(斜体)-valueでした． https://t.co/5xjVZNEGKe 一方，計量生物学会から出されている邦訳はP値で斜体ではなかったです． https://t.co/kmpCwK9Tbn
RT @coalfacer: Q: Why do colleges & grad schools teach p = 0.05? A: it's what editors & the scientific community use. Q: Why do editors &…
RT @coalfacer: Q: Why do colleges & grad schools teach p = 0.05? A: it's what editors & the scientific community use. Q: Why do editors &…
Q: Why do colleges & grad schools teach p = 0.05? A: it's what editors & the scientific community use. Q: Why do editors & the scientific community use p = 0.05? A: it's what they were taught in school. https://t.co/u9GjsIXhte
RT @chadinabhan: Every so often, remembering that not everything is about the P value is important. Looking at the entire data, the clinica…
Every so often, remembering that not everything is about the P value is important. Looking at the entire data, the clinical context, the information, and impact on clinical care are all essential. Clinical significance is critical. https://t.co/aZ09lZNmxB
@tunguz @marco_lainez_ @AllenDowney The ASA say you don't https://t.co/jw4ncYlqcU
@sherajilir I don't like volcano plots, because they put far too much emphasis on the magnitude of p-values; see point 5 of the ASA statement: https://t.co/LAwQmJa93R
Interesting stuff to read and digestible for the non-statistician, as I am: https://t.co/HaxDuFlTy1 https://t.co/mbiKpMailI https://t.co/Xrb31ILlBM https://t.co/mRryCYakbI
RT @AliOilhan: @SinanAlper_ Evet p value isini dogru bilen doktoralilar arasinda bile cok az insan var, American Statistical Association ac…
@SinanAlper_ Evet p value isini dogru bilen doktoralilar arasinda bile cok az insan var, American Statistical Association aciklama yapmak zorunda kaldi, okumamis olanlar icin birakayim suraya: https://t.co/msINpzzCvJ
@raissadeboer I really like the statement on P-values from the American Stat. Ass. Very clear and easy to follow. https://t.co/luKJtKwPqr
@matthewherper @CMichaelGibson I was looking for something about the decision theoretic use of p-values ( my 45 y/o memories were about the use of loss functions for type I and II errors) but I ran across this from ASA in 2016: https://t.co/PVq74ZeV9W
Budding Scholars must read this "The ASA Statement on p-Values: Context, Process, and Purpose" https://t.co/9NDauashis #research #scholars #phdlife