The ASA's Statement onp-Values: Context, Process, and Purpose

RT @SpencerJamesMD: I started including a slide or two on fundamental stats principles in my weekly team meeting slides. The members of my…

RT @SpencerJamesMD: I started including a slide or two on fundamental stats principles in my weekly team meeting slides. The members of my…

RT @SpencerJamesMD: I started including a slide or two on fundamental stats principles in my weekly team meeting slides. The members of my…

Regarding the P-value: it is just about a difference of some kind (degree) between two leaves, two apples, two coins, two colours. And that is all about the P-value. It is just an introductory measure. https://t.co/n4rD0c0VjC

I started including a slide or two on fundamental stats principles in my weekly team meeting slides. The members of my team seem to like reviewing these topics. This week, I'm discussing these summary points from the American Statistical Association. https

The ASA's Statement on p-Values: Context, Process, and Purpose is still #FreeAccess. You can find it here: https://t.co/sTqKkej4ZD @AmstatNews @Ron_Wasserstein https://t.co/oS4uTrnuKw

@lastexposfan Amen! Moreover, see the ASA's official position statement on the use (and abuse) of p-values: https://t.co/bPkR4vzZEz

@wgervais @OstlundOllie @AndrewPGrieve @bmwiernik The odd interpretation IMO is the claim that a p-val is not evidence. Even the ASA statement on p-vals (https://t.co/k7puCxaUBf) says it is evidence against a null, but also cautions to not *only* report a

Look here for a more detailed explanation of the @AmstatNews statement: https://t.co/859a4fA0Gy Or here for the full statement: https://t.co/sC8QWjAcMp #pvalues #ScienceMatters #mathMatters #FactsMatter #FactsNotFear

@Duinhiron @MihoJnvr @Visions_Science I'm not sure I would. Defining *a* scientific method is a very difficult unsettled problem that many philosophers and statisticians are tackling. Many key features like p-values are harshly criticized by, eg, the Ame

@sTeamTraen @annemscheel That's worked well so far. https://t.co/tx5Nh6iW4o

@makennedy101 @JShendure Problem #4: Results should be ranked by a statistic that is related to the difference between groups. A p-value, or statistical significance, does not measure the size of an effect or the importance of a result. Use p-values togeth

@Eric_Fauman @SbotGwa "A p-value, or statistical significance, does not measure the size of an effect or the importance of a result" You can be *really* confident about an effect size, but if that effect size is functionally equivalent to zero, then the p

@sakamping "P-values do not measure the probability that the studied hypothesis is true, or the probability that the data were produced by random chance alone." Ich sehe diesen Fehler ständig, deshalb der Hinweis... (https://t.co/8fvhW36gYQ)

"Statistical significance is not equivalent to scientific..." https://t.co/PsecPKAO6F

este link es el "me destruiste la infancia" para quienes les damos importancia a los asteriscos del p-value en una regresión https://t.co/HV1wVv5ePC

NO, this is not what a p-value means Clinical Trials, End Points, and Statistics—Measuring and Comparing Cancer Treatments in Practice https://t.co/Yio6Ql8hlC See (again): https://t.co/RWEUbULpKv

The American Statistical Association’s Statement on p-Values: Context, Process, and Purpose https://t.co/Y4LldQplL3

@LucyStats https://t.co/bgDluloOZo

@johngraves @JonRMcClure The American Statistical Association has a useful statement concerning the use of p-values (and significance tests) that every journalist and scholar should know about. 1/ https://t.co/4ulz0LB4jK

@sheppard_lab @DanielFalush Although there's still a wrinkle about p-values: * genes / SNPs ranked by p-value * plots / statistics generally only report p-values * no indication that the most distinguishing SNP / gene was known, but at least allele frequen

Ustedes dense: https://t.co/BbvD73ZVht

RT @gonen_mithat: Required reading for everyone, especially for non-statisticians who use p-values routinely. https://t.co/t1elAuXqZM

Required reading for everyone, especially for non-statisticians who use p-values routinely.

Have you read "The ASA's Statement on p-Values: Context, Process, and Purpose" yet? It's free access and you can find it here: https://t.co/VrgxWy3dfK @AmstatNews https://t.co/OSRdwy3ebg

RT @RealRupertDBear: @RodneyTaveras @DTFinegood @nntaleb 1) p of 0.05 is arbitrary. 2) So-called "p hacking" Check this out: https://t.co/K…

@RodneyTaveras @DTFinegood @nntaleb 1) p of 0.05 is arbitrary. 2) So-called "p hacking" Check this out: https://t.co/KnSZdmR4Zh

@hoffsbeefs @NatureGenet Preferably by a statistic that has biological relevance. Absolute value of effect size is an example of that. P-values should only be used as a filter ("is this value reasonable?"), not for determining the degree of significance o

RT @RogerPielkeJr: American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

#Humilty https://t.co/XfqnuCGy3b

RT @RogerPielkeJr: American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

RT @RogerPielkeJr: American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

RT @RogerPielkeJr: American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

The ASA grapples with the "long-worrisome circularity in the sociology of science based on the use of bright lines such as p < 0.05: “We teach it because it’s what we do; we do it because it’s what we teach.” https://t.co/srgbBJg7no https://t.co/4B08FKM

RT @RogerPielkeJr: American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

RT @omnologos: "No single index should substitute for scientific reasoning". Bingo. #pvalue #Statistics #Science https://t.co/rFxM25RLXV

"No single index should substitute for scientific reasoning". Bingo. #pvalue #Statistics #Science https://t.co/rFxM25RLXV

American Statistical Association statement on -p-values Excellent: https://t.co/r7Q8uCVAhg

@chadinabhan You might be interested in the American Statistical Association's statement from 2016 on p-values along with the paper: https://t.co/0k7KKtfTCU https://t.co/IYiHSDUs8o

RT @Students4BE: The ASA’s Statement on p-Values: Context, Process, and Purpose https://t.co/MG3RPrHo03

The ASA’s Statement on p-Values: Context, Process, and Purpose https://t.co/MG3RPrHo03

@hammerheadbat This is why people should listen and take in the things that statisticians say ("zuhören" vs "hören" in German), rather than assuming p-value thresholds are meaningful: https://t.co/TUDvXx6TCp

“The problem is not that people use P-values poorly, it is that the vast majority of data analysis is not performed by people properly trained to perform data analysis.” - @jtleek https://t.co/UxUPb3P4Gp

RT @oimagenta: American Statistical Association ada keluarkan statement (6 pages je) untuk explain 6 principles untuk pakai dan interpret p…

@sicfallacy Sic baca la principles by American Statistical Association ni. Esp pages 5-6. Dia address common misunderstandings pasal p-value sebab sekarang banyak debates over p-value kan. Ada yang extreme siap nak ban lagi lol https://t.co/DbNs8fy1kv

American Statistical Association ada keluarkan statement (6 pages je) untuk explain 6 principles untuk pakai dan interpret p-value (pages 5-6) #goodread. Ini salah satu principles dia. Link to full paper: https://t.co/DbNs8fy1kv https://t.co/MALMUVJWVb

@MyaLRoberson https://t.co/5DLNo2Zsii

@onechankeidansi @zhanpon 5. A p-value, or statistical significance, does not measure the size of an effect or the importance of a result. https://t.co/vR11wyrWSU

Also useful is the ASA's statement on p-values, followed by interesting discussions from 18 experts. https://t.co/onWlu89eJO

アメリカ統計学会 p値に関する声明 ASA Statement on Statistical Significance and P-Values https://t.co/xBd79mQUM8

The ASA's Statement on P-Values: Context, Process, and Purpose (2016) https://t.co/csgHArJQsO

@JelteWicherts https://t.co/YoJhEcgpMy

RT @philecoPL: "By itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis", in: American Statistical…

RT @philecoPL: "By itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis", in: American Statistical…

RT @philecoPL: "By itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis", in: American Statistical…

"By itself, a p-value does not provide a good measure of evidence regarding a model or hypothesis", in: American Statistical Association statement on p-values. Really worth reading https://t.co/FsKGX51scd

What’s the problem with p values? https://t.co/8ilQY5aLa1 #UKCCRF18 @NBT_ICU

@eddythecat3 Welcome soldier to the p-value Wars! #pvalue The ASA's Statement on p-Values: Context, Process, and Purpose https://t.co/9kH8JMlXG4 The P Value Wars https://t.co/SJqcS3NKBl

@CmRoycostilla The exact p-value is being treated as important, and a value with a *really* low p-value (such as 9e-149) is seen as being *really* significant. This does not match the recommendations of ASA: https://t.co/NIKJ8PYAMa https://t.co/A4NZadikkp

@OlgaTroyanskaya "leading to significantly improved performance, p=6.7x10 -123" *sigh* Please at least include one other measure when you report p-values, as "A p-value, or statistical significance, does not measure the size of an effect or the importanc

RT @NickRHart: If you haven’t yet read @AmstatNews 2016 statement on statistical significance & #pvalues, set a few minutes aside for #Mond…

RT @NickRHart: If you haven’t yet read @AmstatNews 2016 statement on statistical significance & #pvalues, set a few minutes aside for #Mond…

RT @NickRHart: If you haven’t yet read @AmstatNews 2016 statement on statistical significance & #pvalues, set a few minutes aside for #Mond…

If you haven’t yet read @AmstatNews 2016 statement on statistical significance & #pvalues, set a few minutes aside for #MondayMorning to learn, understand, and reflect on what it means for our scientific endeavors. #phacking #openscience #scicomm #eval

RT @KenQuarrie: I think it is worth highlighting the ASA statement on the use of p-values again. There is *no* statistical method for draw…

RT @KenQuarrie: I think it is worth highlighting the ASA statement on the use of p-values again. There is *no* statistical method for draw…

I think it is worth highlighting the ASA statement on the use of p-values again. There is *no* statistical method for drawing inferences about a population based on a sample that acts as a ‘recipe book’ and excuses researchers of the requirement to think!

@kyochan765 P値を使うときは気をつけろよ、つーか 非常に扱いが難しいからやめとけよという話。 https://t.co/gHC7id1kDH

@teacherled_RCTs @EllieJane1980 https://t.co/pN8MWebWkv https://t.co/QJyHHvL40o

@teacherled_RCTs @EllieJane1980 https://t.co/pN8MWebWkv https://t.co/mLNdRUTczq

#ACUstudents #week5jounrnalclub https://t.co/j9aX2iKiUF

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

RT @Students4BE: The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to d…

The American Statistical Association's Statement on p-Values: Context, Process, and Purpose. A must read if you want to delve into the world of p-Values... https://t.co/MG3RPrHo03

RT @JoshFessel: SUPER talk from @Eickelberg_MD at PCCM grand rounds today! Thanks so much! (Also, here’s the ASA position paper I mention…

RT @davidlederer: Can't say enough bad things about p-values. Here's a reminder (i guess mostly to me) about what p-values are and what the…

Can't say enough bad things about p-values. Here's a reminder (i guess mostly to me) about what p-values are and what they aren't...all taken from: https://t.co/gHy896gTR8 @Ron_Wasserstein @AmstatNews 1/x https://t.co/ZVQBonIzG9

SUPER talk from @Eickelberg_MD at PCCM grand rounds today! Thanks so much! (Also, here’s the ASA position paper I mentioned. Thanks again for a great visit!) https://t.co/Rc0CJZazg5

RT @koro485: P-valueに関する概念の整理は次の3つ読むとすっきりした ①Goodman 1993 AJE 最初に読むべき。古典だが綺麗にまとめてある https://t.co/JVV9StQwf9 ②Nuzzo 2014 Nature どちらかといえば娯楽用読…

@BayesicTony @molly_przew Fiddling with p-values to change the importance of a result is the wrong way to go about GWAS. https://t.co/i39uOkgZ56 I prefer internal subsampling to knock out highly-variable alleles and at least make sure that the associatio

https://t.co/nm1IyB5Vpv #Statistics https://t.co/bxpsrK2Xaw

@medrants Not quite. A p value of 0.05 means there is a 5% of observing results at least as extreme as were observed, IF there was in truth no effect/difference (or whatever the null hypothesis is). The condition is CRUCIAL, and often ignored! See @AmstatN

RT @consult_stat: 원문: Ronald L. Wasserstein & Nicole A. Lazar 2016 "The ASA's Statement on p-Values: Context, Process, and Purpose” https:/…

RT @consult_stat: 원문: Ronald L. Wasserstein & Nicole A. Lazar 2016 "The ASA's Statement on p-Values: Context, Process, and Purpose” https:/…

원문: Ronald L. Wasserstein & Nicole A. Lazar 2016 "The ASA's Statement on p-Values: Context, Process, and Purpose” https://t.co/zGCXpwBK58

RT @unlearnai: "By itself, a p-value does not provide a good measure of evidence" - American Statistical Association https://t.co/OOjRcEbQ…

RT @unlearnai: "By itself, a p-value does not provide a good measure of evidence" - American Statistical Association https://t.co/OOjRcEbQ…

"By itself, a p-value does not provide a good measure of evidence" - American Statistical Association https://t.co/OOjRcEbQDi

RT @BioVinci: "- Why do so many colleges and grad schools teach p = 0.05? - Because that’s still what the scientific community and journal…

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

RT @boylucas: Ante aquella propuesta de hacer más pequeño el valor de p con la finalidad de hacerlo “más estricto”, les recuerdo que p no s…

Ante aquella propuesta de hacer más pequeño el valor de p con la finalidad de hacerlo “más estricto”, les recuerdo que p no sirve si no tomamos en cuenta muchos otros factores, tales como la hipótesis, tamaño muestral, diseño, IC, etc. https://t.co/5k3l8d9

@noehdezmd Hace dos años la Asociación Americana de Estadística mencionana 6 puntos para el uso adecuado de la p. “En sí mismo, un valor de p no es una medida apropiada de la evidencia de un modelo o hipótesis.” https://t.co/9PewZx2VyU

RT @drjwdietrich: @no_identd @CMichaelGibson @lakens @stephenbenning The ASA's statement on p-values is worth reading, too: https://t.co/K5…

@no_identd @CMichaelGibson @lakens @stephenbenning The ASA's statement on p-values is worth reading, too: https://t.co/K5gzPCn8uV

RT @cofactoranna: This post links to an editorial explaining the problems with p-values (tweeting to bookmark for later reading) https://t.…