To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! https://t.co/uZIbo5gFsu
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.
Mentions
Extended reach
Total likes
Video views
Mentions per month
Oct 2016 – Nov 2025Where it's discussed
-
X / Twitter234 posts
-
Facebook44 posts
-
Blogs18 articles
-
News11 articles
-
Bluesky5 posts
-
YouTube4 videos
AI synopsis
What people are saying
The discussions reflect a collective acknowledgment of the misinterpretations addressed by Greenland et al., with many users citing specific papers like the 2016 ASA statement and Greenlands's work on P-values. The tone is primarily educational and respectful, emphasizing the importance of accurate statistical reasoning, which underscores the article's high impact and deep engagement.
Most discussions recognize the importance of proper statistical understanding and support the article's critique of common misconceptions.
Many posts show a high level of curiosity and appreciation for the subject, with references to specific papers and concepts.
Numerous discussions delve into detailed explanations, recommend further readings, and engage with misconceptions, indicating deep involvement.
The widespread sharing of authoritative references and recognition of the article's relevance suggest it influences scientific understanding and educational practices.
Abstract in brief
- The article critiques the widespread misinterpretation and misuse of statistical concepts like P values, confidence intervals, and statistical power, highlighting that correct understanding is difficult and often overlooked by scientists.
- It offers simplified and critical explanations of these statistical tools aimed at educators, researchers, and students with limited background, warning against common pitfalls such as misreading P values or selecting analysis methods based on their results.
- The authors provide a list of 25 common misinterpretations and offer practical guidelines to improve the accuracy and honesty of statistical reporting in scientific research.]
Top posts
Most liked on X and Bluesky#MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephensenn covers some of the most common misinterpretations of statistical tests, p-values, confidence intervals and power. 1/..
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.co/EiEmah4hGr A classic, to be periodically revisited... @Lester_Domes #MedEd https://t.co/NBtF9zBsUy
@kenkyushienARS 当然失礼します。 既に他の方からコメントがついていますが、P値に関する典型的な誤解があるようですので、ご修正された方が良いと思います。 こちらの論文をご参照ください。 https://t.co/c1WUE22zKB
Pessoal, apesar de corriqueira essa interpretação e isso ser um meme, ela está errada. Inclusive, a interpretação do valor de p cobrada por provas de residência médica frequentemente está errada também. Dos intervalos de confiança também. Recomendo: https://t.co/GYKsmCDoDn https://t.co/8A8CEXpQwR
All mentions
Understanding Statistical Concepts: Confidence Intervals and P Values
This video critiques common misinterpretations and misuse of statistical concepts like P values, confidence intervals, and statistical power, emphasizing the importance of correct understanding for researchers and…
Understanding Confidence Intervals and Their Common Misconceptions
Statistics often uses specific definitions for common words, making concepts like confidence challenging. This video explores frequentist and Bayesian confidence intervals, addressing misconceptions and the fundamental…
Redefining P-Values: Understanding Compatibility in Statistics
This video presents a guided example addressing common misinterpretations of P-values. Rooted in recent research, it explores the benefits of viewing P-values as measures of compatibility, enhancing researchers'…
Understanding Common Misinterpretations of Statistical Tests and P Values
This presentation discusses a paper on statistical tests, P values, confidence intervals, and power, highlighting common misinterpretations and offering practical guidelines to improve statistical reporting in…
RT @OACerebro: Para todos los amantes de la estadística. ¡Una lectura obligatoria! ♾️https://t.co/6QtYMVV4gI https://t.co/eBH5I2dse9
RT @genkuroki: #統計 悪しきフローチャート統計学の事例13 P値や信頼区間の解釈の仕方も伝統的ないつものダメなやつ。Greenlandさん達の a guide to misinterpretations https://t.co/qC5Neh2iJ2 を引用し…
#統計 悪しきフローチャート統計学の事例13 P値や信頼区間の解釈の仕方も伝統的ないつものダメなやつ。Greenlandさん達の a guide to misinterpretations https://t.co/qC5Neh2iJ2 を引用しているが、全然理解していない。Greenlandさんの講演スライド https://t.co/JKWXm4FwVR を参照するべき。 https://t.co/YsILRXWWnN https://t.co/CzrkbIWhB1
RT @vitorborin_: Pessoal, apesar de corriqueira essa interpretação e isso ser um meme, ela está errada. Inclusive, a interpretação do valo…
RT @vitorborin_: Pessoal, apesar de corriqueira essa interpretação e isso ser um meme, ela está errada. Inclusive, a interpretação do valo…
Pessoal, apesar de corriqueira essa interpretação e isso ser um meme, ela está errada. Inclusive, a interpretação do valor de p cobrada por provas de residência médica frequentemente está errada também. Dos intervalos de confiança também. Recomendo: https://t.co/GYKsmCDoDn https://t.co/8A8CEXpQwR
RT @ai_biostat: 統計的検定、P値、信頼区間、検出力について、多くの科学者が誤解したり短絡的な解釈をしたりしている点を指摘しています。音声リンクはこちら
RT @ai_biostat: 統計的検定、P値、信頼区間、検出力について、多くの科学者が誤解したり短絡的な解釈をしたりしている点を指摘しています。音声リンクはこちら
RT @ai_biostat: 統計的検定、P値、信頼区間、検出力について、多くの科学者が誤解したり短絡的な解釈をしたりしている点を指摘しています。音声リンクはこちら
統計的検定、P値、信頼区間、検出力について、多くの科学者が誤解したり短絡的な解釈をしたりしている点を指摘しています。音声リンクはこちら
RT @mzloteanu: #stats reporting idea: I was reading Greenland et al. (2016) and they mention reporting p-values for effects of interest (as…
RT @mzloteanu: #stats reporting idea: I was reading Greenland et al. (2016) and they mention reporting p-values for effects of interest (as…
RT @mzloteanu: #stats reporting idea: I was reading Greenland et al. (2016) and they mention reporting p-values for effects of interest (as…
#stats reporting idea: I was reading Greenland et al. (2016) and they mention reporting p-values for effects of interest (as compatibility measures) alongside the null. Seems like an interesting idea. Plot is for 0, .1, .3, .5. https://t.co/BESAgXUMZX https://t.co/5BRARsHe3C
RT @OACerebro: Para todos los amantes de la estadística. ¡Una lectura obligatoria! ♾️https://t.co/6QtYMVV4gI https://t.co/eBH5I2dse9
RT @mzloteanu: #statstab #254 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations Thoughts: I shar…
RT @mzloteanu: #statstab #254 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations Thoughts: I shar…
#statstab #254 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations Thoughts: I share tutorial papers, as people resonate with different writing styles and explanations. #statistics #guide #tutorial #effectsize link.springer.com/article/10.1...
#statstab #254 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations Thoughts: I share tutorial papers, as people resonate with different writing styles and explanations. #statistics #guide #tutorial #effectsize https://t.co/1JemSywC3y
https://t.co/GDRJq4XgMW https://t.co/XRvYKDt2kB
Thanks Amanda
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
RT @selcukorkmaz: To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! http…
To learn more, check out the full paper by Greenland et al. It’s essential reading for anyone involved in research! https://t.co/uZIbo5gFsu
10/n Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations pubmed.ncbi.nlm.nih.gov/27209009/
RT @AlessandroRov19: Suggested references https://t.co/xkKvuJpvBy https://t.co/VKlmjeHvhu https://t.co/9xHahfvpai https://t.co/VqyWBFEjFS
Suggested references https://t.co/xkKvuJpvBy https://t.co/VKlmjeHvhu https://t.co/9xHahfvpai https://t.co/VqyWBFEjFS
RT @fermatslibrary: Paper: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. A great read. Yo…
RT @OACerebro: Para todos los amantes de la estadística. ¡Una lectura obligatoria! ♾️https://t.co/6QtYMVV4gI https://t.co/eBH5I2dse9
@DMOPalmer @jamesheathers That is incorrect. For p<threshold, you have evidence that the null hypothesis is inconsistent with the data you have gathered. Some useful reading: https://t.co/tdmHAysk7g
quantum foundational related dim-wittery; the inability to reason even with classical probability https://t.co/K8qSbGaxXN etc.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
https://t.co/NOTdRNDaJ8
1/6 Just finished re-reading this excellent paper from 2016 and refreshing my understanding of P values. This paper is eight years old, but we still have the same issues misinterpreting P values and confidence intervals. Paper: https://t.co/18sCSiVN53 Happy learning!
RT @BreznauNate: This also looks decent, includes a list of misconceptions https://t.co/hAmhdu3vgc
This also looks decent, includes a list of misconceptions https://t.co/hAmhdu3vgc
No és la primera vegada que el sento fer males interpretacions de resultats estadístics. Avui no me n'he pogut estar. Podria llegir aquestes dues referències (només per començar):
RT @ed_kroc: @camjpatrick Oh cool, I haven't seen that paper. I'll give it a read. A great go-to reference for this and other classic misco…
RT @ed_kroc: @camjpatrick Oh cool, I haven't seen that paper. I'll give it a read. A great go-to reference for this and other classic misco…
RT @ed_kroc: @camjpatrick Oh cool, I haven't seen that paper. I'll give it a read. A great go-to reference for this and other classic misco…
@camjpatrick Oh cool, I haven't seen that paper. I'll give it a read. A great go-to reference for this and other classic misconceptions I like to use is the Greenland, Senn et al. 2016 paper. Very handy! https://t.co/HRiWa60HoT
@OliveChirper @Drlipid @deirdre_tobias See the picture below. I had to assume that mean=median and SD = 1.5x (Q3-median). Absolutely not ideal, but it does illustrate the points I’ll list in the next tweet point 21 here is not directly applicable but may still be helpful: https://t.co/EMjQPy0Sp2 https://t.co/h4Pcwc08PS
@jt_kerwin @ajordannafa https://t.co/nTiUvGliCz
@Brier_Gallihugh https://t.co/OqcpM3dPGH
@Brier_Gallihugh https://t.co/sN9QjFpdBd
@rdthorsett @kareem_carr Lots of things, but the most common and most severe error is thinking that it's the chance of the null hypothesis to be true. https://t.co/5pvULKI9Z8
of working scientists. This high cognitive demand has led to an epidemic of shortcut definitions and interpretations that are simply wrong, sometimes disastrously so—and yet these misinterpretations dominate much of the scientific literature.” (2/2) https://t.co/6Fg7pZ45Ii
RT @5_utr: @dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
RT @5_utr: @dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
RT @5_utr: @dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
RT @5_utr: @dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
RT @5_utr: @dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
@omaclaren @jonatanpallesen I recommend you give this a read: https://t.co/L9IaT5BzpF
@dylanarmbruste3 I like this Greenland et al work https://t.co/L9IaT5BzpF
@Edson_JohnSG @jacobmmears @mongreloutsider @PhDemetri I tried to give a few practical examples in the context of A/B testing here https://t.co/1RbKktMGNp Also, this banger https://t.co/xGYEKlX4zg
Twitter's (rightly) been laughing at the regression line on the graph but it wouldn't be surprising if even this claim isn't well founded (https://t.co/vgE2rpRjjw , https://t.co/K8qSbGb5Nl). https://t.co/C3LFFpaXV9
RT @Sonic_urticant: 23/ (ajout) Bel article qu'on m'a transmis : https://t.co/dyps9e87Fx (copiez-collez dans Google traduction si ça vous c…
@PCaParker @f2harrell Please also read: https://t.co/mFQFSChvbD https://t.co/9PoSTnj5cg https://t.co/sz4jmPe3Ed
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @pash22: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/zphfUuK1Zs via @stephe…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/zphfUuK1Zs via @stephensenn et al https://t.co/tbv0sxLqUO
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @Fiona_M_Russell: Nice summary of the abuse of statistical tests “correct use & interpretation of these statistics requires an attentio…
Nice summary of the abuse of statistical tests “correct use & interpretation of these statistics requires an attention to detail which seems to tax the patience of working scientists” “has led to interpretations that are simply wrong” https://t.co/znAopqNygt https://t.co/2M4BYbGMv3
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
RT @andersgranholm: #MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephense…
#MethodMonday 38: Common statistical misinterpretations https://t.co/b4srbEEpgi This paper by @Lester_Domes @stephensenn covers some of the most common misinterpretations of statistical tests, p-values, confidence intervals and power. 1/..
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @MaartenvSmeden: If you are looking for a good intro to stats book follow these 2 steps: 1) read about p-value misconceptions, here: htt…
@Wolters_Kluwer I just found this interpretation of CI in one of your "medical education" materials. Maybe you can consider revising? Here a good basis: Greenland et al. Eur J Epidemiol 31, 337–350 (2016). https://t.co/oISECcvRqx #Stats https://t.co/GIjUPMyLNw
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations - PMC https://t.co/VICm6NBo23
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
RT @drjgauthier: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.c…
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations by Greenland et al https://t.co/EiEmah4hGr A classic, to be periodically revisited... @Lester_Domes #MedEd https://t.co/NBtF9zBsUy
@fit_ton @OpenCSD Great Question! We will center our discussion around the following article: Greenland et al. (2016). Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.
Time for a re-share of one of my favourite stats papers: @Lester_Domes et al. “…statistical significance is neither necessary nor sufficient for determining the scientific or practical significance of a set of observations.” https://t.co/DMTqKjm43F
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @Sonic_urticant: 23/ (ajout) Bel article qu'on m'a transmis : https://t.co/dyps9e87Fx (copiez-collez dans Google traduction si ça vous c…
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/vzBe88idMb
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
https://t.co/Ptawpdx82z Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @OACerebro: ¡Para todos los amantes de la #ciencia! Una lectura obligatoria.
RT @Milanes_guisado: Por aquí dejo esta lectura básica:
RT @Milanes_guisado: Por aquí dejo esta lectura básica:
Por aquí dejo esta lectura básica:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
RT @Verukita1:
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/NvtGSrMA7y
@ATabarrok @ariarmstrong Greenland, Sander, et al. "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations." European journal of epidemiology 31 (2016): 337-350.
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/3KOveKQdLn
RT @tangming2005: 4/ [Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations](https://t.co/QVUoayoJ9S)
4/ [Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations](https://t.co/QVUoayoJ9S)
@apsmunro Thank you for this. Maybe hit p-values next (over lapping concepts). Add this to the reading list - statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
RT @saudemaispubli1:
RT @saudemaispubli1:
#RT @saudemaispubli1:
RT @saudemaispubli1:
RT @pash22: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/zphfUuK1Zs via @stephe…
RT @pash22: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/zphfUuK1Zs via @stephe…
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/zphfUuK1Zs via @stephensenn et al https://t.co/Sc5vZ4QmZc
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations — ensayo del 2016. https://t.co/n8fdm5Q00y
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/EySOBVPWY6
RT @tnk2_2018: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/FFcEdQ5ioX
@adamjnafa @IsabellaGhement Looks great! I'm only surprised it doesn't include Greenland et al 2016 (Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations) and Amrhein et al 2019 (Scientists rise up against statistical significance)!
RT @iznaiy_emjawak: @kenkyushienARS 当然失礼します。 既に他の方からコメントがついていますが、P値に関する典型的な誤解があるようですので、ご修正された方が良いと思います。 こちらの論文をご参照ください。 https://t.co/c1WUE2…
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/Fk2w6qZgGL
RT @iznaiy_emjawak: @kenkyushienARS 当然失礼します。 既に他の方からコメントがついていますが、P値に関する典型的な誤解があるようですので、ご修正された方が良いと思います。 こちらの論文をご参照ください。 https://t.co/c1WUE2…
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/pW0h48iFZF 統計検定、P 値、信頼区間、検出力: 誤解のガイド 2016 年 4 月;31
RT @iznaiy_emjawak: @kenkyushienARS 当然失礼します。 既に他の方からコメントがついていますが、P値に関する典型的な誤解があるようですので、ご修正された方が良いと思います。 こちらの論文をご参照ください。 https://t.co/c1WUE2…
@kenkyushienARS 当然失礼します。 既に他の方からコメントがついていますが、P値に関する典型的な誤解があるようですので、ご修正された方が良いと思います。 こちらの論文をご参照ください。 https://t.co/c1WUE22zKB
@robgraymd @orthotraumamd @orthobullets @RothmanOrtho @MikeKnudsenMD @FractureDoc @vegascourse @PaulSethiMD @BrianColeMD @JSanchezSotelo @traumaticum @jamesablairMD Also the example of p values set at 5% as small isn’t exactly correct. See page 340 of https://t.co/gFIlyKPsOZ
@BradSchoenfeld 2/2 see greenland el at. 2016. Eur J Epidemiol. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GlobalPHObserv: Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b8uEyzAP6V
RT @GuyProchilo: Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical…
Greenland, S., Senn, S. J., Rothman, K. J., Carlin, J. B., Poole, C., Goodman, S. N., & Altman, D. G. (2016). Statistical tests, P values, confidence intervals, and power: A guide to misinterpretations. European Journal of Epidemiology, 31(4), 337–350. https://t.co/RO6NJb8lyr
109/#365papers Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations @Lester_Domes et al, 2016 P value may be small because there was a large random error or because some test assumption was violated https://t.co/PTZcmGfBC1 #Statistical https://t.co/zUn0ojhGZS
RT @jessenleon: This is quite nice: "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations" from Altm…
This is quite nice: "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations" from Altman who sadly is no longer amongst us. https://t.co/DkL44LmoA0
RT @Dr_KID_: そんな方には、こちらの文献と桃をそっと机に置いてあげてください。 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations…
そんな方には、こちらの文献と桃をそっと机に置いてあげてください。 Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/gCl6Ez18MF Scientists rise up against statistical significance https://t.co/SZfyGfKhKb https://t.co/8nybTDE1eR
週末の案件が済むまでは何ともひと段落しないなぁ。 思考停止状態が続くわ!!! 依然見た気がするがグリーンランド先生他のStatistical tests, P values, confidence intervals, and power: a guide to misinterpretationsに目を通す?!DeepL頼りやけどね。
https://t.co/dTvsgKRaGG
RT @EpiSconroy: @Alonsogainza23 @PhDemetri There are so many it is difficult to choose just one
RT @EpiSconroy: @Alonsogainza23 @PhDemetri There are so many it is difficult to choose just one
@Alonsogainza23 @PhDemetri There are so many it is difficult to choose just one
@lmnmjd こちらを◎ https://t.co/PIPzGkRssd
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/b0A3BcCy7g Sander Greenland, Stephen J. Senn, Kenneth J. Rothman, John B. Carlin, Charles Poole, Steven N. Goodman, Douglas G. Altman.
@CMastication @rlmcelreath @dylanarmbruste3 @NoahHaber Perhaps, but to be fair, this was for a very specific audience/discussion, he’s written several other papers with more accessible definitions/descriptions of P-values, here are some excerpts from the first link 1. https://t.co/DepyiqagSt 2. https://t.co/b4nrvhCqik https://t.co/lP6IgT9Rg0
RT @gilbellosta: "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations" https://t.co/tirn8MZEXR
RT @gilbellosta: "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations" https://t.co/tirn8MZEXR
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/uj1dhT8iKd
@NutritionMadeS3 @Plant_proof https://t.co/3igsEHYp1V https://t.co/P7xDjd6Rph
@twitktr @JacobGudiol Ja alltså tyvärr kräver det väl lite mer än en enkel tweet för att skapa full förståelse för statistiken… Men att alls intressera sig och VILJA förstå är ju en alldeles utmärkt början! Det finns ju utvecklade förklaringar också
Greenland et al., "Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations" (European Journal of Epidemiology, 2016). An easy-to-understand introduction to statistical concepts for researchers. https://t.co/NB8l46CsuI
@JamesMaloneLee3 I have found these articles useful: https://t.co/gZp5qZAClD https://t.co/7wM0c7v3TA The ASA has also issued a statement about this: https://t.co/gE6Jo9PQJb
Hi, le test statistique n est pas suffisant pour evaluer cette hypothese. Il peut au mieux rejeter l hypothese nulle mais cela ne signifie pas que notre hypothese est juste. Il y a ces papiers que j aime beaucoup https://t.co/kiNbmxfb97 et https://t.co/ICk3WAW4po https://t.co/x0GYFBzVqX
RT @Abraham_RMI: @trumanfrancis @vamrhein @Lester_Domes @lakens @learnfromerror @f2harrell @stephensenn @goodmanmetrics @statsepi Thank you…
@trumanfrancis @vamrhein @Lester_Domes @lakens @learnfromerror @f2harrell @stephensenn @goodmanmetrics @statsepi Thank you for sharing it. I didn't know about this paper. I will read it. IMO, the best explanation about “what is” and “what isn't” the P-value are on these articles: 1. https://t.co/DbMoDJlieN 2. https://t.co/vpt61tDaZT 3. https://t.co/cTCmtGOebz
RT @ESteyerberg: @learnfromerror @jd_wilko @OmarRawi89 Sorry, "results not readily due to noise alone" is one of the many wrong interpretat…
RT @ESteyerberg: @learnfromerror @jd_wilko @OmarRawi89 Sorry, "results not readily due to noise alone" is one of the many wrong interpretat…
@learnfromerror @jd_wilko @OmarRawi89 Sorry, "results not readily due to noise alone" is one of the many wrong interpretations of a p-value, since phrased unconditionally @Lester_Domes @stephensenn https://t.co/LNfD5GWov3
@ArturoErdely @dyctiostelium @Ad_SotoMota @cochranecollab Si eso se enseña en stats 101, pero no significa que sea correcto. El rechazo de la hipótesis nula no significa que la Ha sea verdadera, porque como tmb se enseña en stats 101 hay varios supuestos que necesitan cumplirse. Ver: https://t.co/tqmN2hTErC
RT @cientistica: Quinta aula da disciplina de pós "Estatística aplicada a Psicobiologia da UNIFESP! https://t.co/GVdsbfsPLI
RT @cientistica: Quinta aula da disciplina de pós "Estatística aplicada a Psicobiologia da UNIFESP! https://t.co/GVdsbfsPLI
Quinta aula da disciplina de pós "Estatística aplicada a Psicobiologia da UNIFESP! https://t.co/GVdsbfsPLI
But I mean... I guess its just a meme right? https://t.co/Rm24xlZoEM
Really interesting and accessible way to think about p-values and what they can (and cannot) tell us. This paper about p-values is also excellent: https://t.co/Yrh0NVAEvT Una entrada de blog muy interesante y accesible sobre p-values y lo que significan + un documento útil https://t.co/k0jzHukmsI
@dnunan79 @MaartenvSmeden also he was an author on the 2016 ASA supplement paper about misinterpretations surrounding testing, which contains a good portion refuting the Altman paper from 2005 so I don't believe he was originally teaching the incorrect way to make it more intuitive https://t.co/b4nrvhCqik https://t.co/THoX0pbK8q
@khalidelzahrani https://t.co/PWClEpVkOa https://t.co/2hm5g1N9GE https://t.co/TBlp9fTKKG https://t.co/BE7j7uWLOo
@AndrewPGrieve That‘s plain wrong. Misunderstanding of p-values. Here is a nice summary what p-values really mean: https://t.co/so3GbQASxC See also: https://t.co/LPywYkRFHO
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations https://t.co/AVqVjjGqh3
from https://t.co/zc1DYBFAWN i love stats even though i cant understand it! it makes you think things.
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations | http://bit.ly/2H1x7OL
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations http://dx.doi.org/10.1007/s10654-016-0149-3
E
黒K
AA