RT @DrAndyGalpin: Fully agree with Brad here. I've been out on 'p < 0.05' since grad school. So pumped this is moving - it makes no sen…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @DrAndyGalpin: Fully agree with Brad here. I've been out on 'p < 0.05' since grad school. So pumped this is moving - it makes no sen…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
Fully agree with Brad here. I've been out on 'p < 0.05' since grad school. So pumped this is moving - it makes no sense at all - especially in Human Performance science.
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
Scientists rise up against statistical significance https://t.co/rPNJiXmPWL
RT @SamirMithqal: Scientists rise up against statistical significance Vale a pena dar uma lida. https://t.co/olSdgx0BMQ
Scientists rise up against statistical significance Vale a pena dar uma lida. https://t.co/olSdgx0BMQ
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
RT @BradSchoenfeld: Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from d…
Can't be repeated enough IMHO: We need to move away from null-hypothesis statistical testing. Drawing inferences from data shouldn't be a binary process... https://t.co/81k0e1r1JX
RT @ZoltanChivay92: @webdif @Benoit_Lavier La pertinence et l'interprétation de la p-value sont d'ailleurs toujours discutées dans la commu…
@webdif @Benoit_Lavier La pertinence et l'interprétation de la p-value sont d'ailleurs toujours discutées dans la communauté scientifique: https://t.co/jpc81GqYY9
'In 2019, the academic journal Nature published a letter, signed by more than 800 researchers and other professionals from fields that rely on statistical modelling, that called “for the entire concept of statistical significance to be abandoned.” https://
To talk about the role of statistical significance is to talk about the quality of the scientific ecosystem. https://t.co/f69GCFpfXI
仮説検定はいろんな意味で良くないという主張のいわばバズった論文が面白すぎる 仮説検定の結果自体そもそも誤解を生みやすいものだし、検定結果が正しい確率を有意水準に押し付けて、(特に一般人にとって)1か0の主張に見せられるのは確かによろしくないように感じます https://t.co/W4MhBZncKG
De superbes travaux de @lonnibesancon sur la dichotomisation de la p-value. À lire absolument !! 🤩🤩
RT @lonnibesancon: Un article en français sur la dichotomisation de la valeur-p: https://t.co/m1pbOva50I L'article dans Nature: https://t…
RT @lonnibesancon: Un article en français sur la dichotomisation de la valeur-p: https://t.co/m1pbOva50I L'article dans Nature: https://t…
Un article en français sur la dichotomisation de la valeur-p: https://t.co/m1pbOva50I L'article dans Nature: https://t.co/zDw9MMtp4S Mes travaux sur la dichotomisation et ses solutions: https://t.co/XHN61aKn2Q https://t.co/GNtvqnDz1n https://t.co/4tuh6
Önemli bir nokta da “istatistiken anlamlı - istatistiken anlamlı değil” gibi bir ikileme gidiliyor olması (detay: https://t.co/7scfrPlRkm). Çünkü 0.06 p değeri elde edilmiş bir çalışma başarısız olarak gösterilebiliyor (https://t.co/8ZP4Aul5LN).
@ajitjohnson_n Scientists rise up against statistical significance https://t.co/IXkH9wsIz4 #Statistics
RT @FREELANCEROG: EL VALOR DE P ESTÁ OBSOLETO!! Estimar el tamaño del efecto es el objetivo de un #ensayoclínico https://t.co/STnSSJwsB1…
RT @FREELANCEROG: EL VALOR DE P ESTÁ OBSOLETO!! Estimar el tamaño del efecto es el objetivo de un #ensayoclínico https://t.co/STnSSJwsB1…
RT @FREELANCEROG: EL VALOR DE P ESTÁ OBSOLETO!! Estimar el tamaño del efecto es el objetivo de un #ensayoclínico https://t.co/STnSSJwsB1…
RT @FREELANCEROG: EL VALOR DE P ESTÁ OBSOLETO!! Estimar el tamaño del efecto es el objetivo de un #ensayoclínico https://t.co/STnSSJwsB1…
EL VALOR DE P ESTÁ OBSOLETO!! Estimar el tamaño del efecto es el objetivo de un #ensayoclínico https://t.co/STnSSJwsB1 #Estadistica https://t.co/6j3C6TyjAH
@matthieugarby @raoult_didier En soi, la valeur-p ne fournit pas une bonne mesure de la preuve concernant un modèle ou hypothèse. Halte aux extrapolations du néo-scientisme! https://t.co/ADNcbxuEWp
The change is happening. It's not often you get to witness a paradigm shift across health, biological, and social sciences. Reform wins seem also all too rare in this era. But this time the good guys are winning and life is going to get better for us all.
RT @Abraham_RMI: For many years, a P-value <0.05 has seen accepted as a threshold to define “statistical significance”, but what is the pro…
RT @Abraham_RMI: For many years, a P-value <0.05 has seen accepted as a threshold to define “statistical significance”, but what is the pro…
RT @Abraham_RMI: For many years, a P-value <0.05 has seen accepted as a threshold to define “statistical significance”, but what is the pro…
For many years, a P-value <0.05 has seen accepted as a threshold to define “statistical significance”, but what is the problem with the P-value? Here, is a very good explanation by @vamrhein @Lester_Domes et al. via @Nature https://t.co/8xAv5XHuY
@yoshkapundrick @RealPotatus @GermHunterMD @boulware_dr @DrToddLee See Nature paper on statisticians saying the p-value given unwarranted validity https://t.co/xIcnBS2vp4 So do we “know” early treatments don’t work because studies showed no effect? NO!! Th
Läst mer om statistik "How do statistics so often lead scientists to deny differences that those not educated in statistics can plainly see?" Scientists rise up against statistical significance https://t.co/JP9YUVMdc0
Thoughts??? https://t.co/vrcF8xeo1h
RT @deepgreendesign: Scientists rise up against statistical significance ~ https://t.co/vkTQdAt75Q #DataScience #CdnPoli #Math #SciComm #D…
Scientists rise up against statistical significance ~ https://t.co/vkTQdAt75Q #DataScience #CdnPoli #Math #SciComm #Design #MFG
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…
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
@SimonLeeWx And potentially pointless: https://t.co/7USHgJPVPU
RT @VeloMontaigne: this sounds more like an excuse to make phacking easier generally speaking, I think that the current research paradigm…
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
@EdoajoEric Another interesting take
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
Verdere uitdieping in deze draad: https://t.co/MWBXGBZpuG
Het artikel over significatie vs effect waar de infographic uit komt staat hier https://t.co/SO5biliMgK
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
Big Pharma is trying really hard to make Ivermectin look bad.
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
this sounds more like an excuse to make phacking easier generally speaking, I think that the current research paradigm makes the probability of a false positive much higher than that of a false negative p = .05 is not stringent enough be careful what yo
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
RT @KurtisHagen: A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statist…
@alexandrosM I think these are relevant considerations that support your view. https://t.co/GgAa2bvWly
A TOGETHER trial 🧵: First, keep this in mind that researchers commonly misinterpret the implications of their own statistical analysis. See https://t.co/EsWGWEMYn4 So, it is not outrageous to think that this has happened with the TOGETHER trial. …
RT @AazamVirani: When all is said and done, someone out there will examine a random sample of scientists and claim to reject the null hypot…
RT @PierreKory: JAMA ("PHAMA") & media shout IVM has "no role in Rx" from trial of mild hosp patients w/ 2.5X more vented & over 3X more de…
@sus_no @kommunen @UniStavanger @bakgaarden @TheLocalNorway @InnovasjonNorge @NRKRogaland @InnovasjonNorge @vgnett @VG247 @politietsorvest pls read - listen #norway and follow ppl that care to help not to get profit.
Yeah.. those "mixed studies" all point in one direction, I believe. cf https://t.co/i8q6CIg8Bv
@dt_always_wrong @WSJ And here is another explanation Understand what the data is really saying or not saying https://t.co/RrxEq1upRJ
RT @dr_iver_mecton: Pierre cannot be fooled! JAMA clearly is owned by all the pharmaceutical companies at once! That is why it would publi…
Pierre cannot be fooled! JAMA clearly is owned by all the pharmaceutical companies at once! That is why it would publish an RCT showing no benefit for Ivermectin! IVERMECTIN FOR ALL!!!
RT @BrendaCrabtreeR: This is a must read! 👇🏽👇🏽👇🏽 "We must learn to embrace uncertainty. One practical way to do so is to rename confidence…
RT @TheSGEM: @Mala_Naicker @EMManchester @nickmmark @CebmOxford @First10EM @richardbody @BMJ_EBM Here’s an article from @nature that might…
RT @mauri_perez: @alexandrosM @VPrasadMDMPH Or.. "Scientists rise up against statistical significance" https://t.co/TXRBwTmUxJ
@alexandrosM @VPrasadMDMPH Or.. "Scientists rise up against statistical significance" https://t.co/TXRBwTmUxJ
@Aalibeh این باشه فکر کنم https://t.co/OtCqvy9hMd
Scientists rise up against statistical significance https://t.co/GM84VePzVk
https://t.co/PgkW0f3eBX “We must learn to embrace uncertainty. One practical way to do so is to rename confidence intervals as ‘compatibility intervals’ and interpret them in a way that avoids overconfidence.”
RT @SISeneviratne: Namely, we should shift from avoiding Type I errors to avoiding Type II errors (i.e. missing a risk that potentially is…
Scientists rise up against statistical significance https://t.co/4b5aylbDhU
örneğin bu çalışmada eleştirilecek bir sürü şey yazılmış zaten, p değeri trende işaret ediyor (daha çok insanda çalışmış aslında), istatistiksel gücün olmadığı ya da tekrarlanması gerektiği düşünülebilir. ama “x çalışmıyor” demek için yeterli değil, en azı
@letipezz @chiara_valerio another church https://t.co/PdEI287K1V
RT @PierreKory: JAMA ("PHAMA") & media shout IVM has "no role in Rx" from trial of mild hosp patients w/ 2.5X more vented & over 3X more de…
Scientists rise up against statistical significance!… https://t.co/aud5HEEYrB
RT @PierreKory: JAMA ("PHAMA") & media shout IVM has "no role in Rx" from trial of mild hosp patients w/ 2.5X more vented & over 3X more de…
RT @PierreKory: JAMA ("PHAMA") & media shout IVM has "no role in Rx" from trial of mild hosp patients w/ 2.5X more vented & over 3X more de…
RT @FlavioCadegiani: 3x mais mortes no grupo placebo do que no grupo da ivermectina, mas ivermectina “não funciona” por causa da porra do “…
RT @FlavioCadegiani: 3x mais mortes no grupo placebo do que no grupo da ivermectina, mas ivermectina “não funciona” por causa da porra do “…
RT @FlavioCadegiani: 3x mais mortes no grupo placebo do que no grupo da ivermectina, mas ivermectina “não funciona” por causa da porra do “…