Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
essential reading for all scientists “@david_colquhoun: Interpretation of P values is now in a real journal. arXiv http://t.co/y6uxlHG3hi”
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
"If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time" http://t.co/C6vdGDcMXH
New investigation into the use and misuse of p-values in research - important read for everyone http://t.co/tZO8B50KYS by @david_colquhoun
New investigation into the use and misuse of p-values in research - important read for everyone http://t.co/tZO8B50KYS by @david_colquhoun
New investigation into the use and misuse of p-values in research - important read for everyone http://t.co/tZO8B50KYS by @david_colquhoun
"If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time" http://t.co/XP12NAaUCK
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
"If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time" http://t.co/XP12NAaUCK
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
New investigation into the use and misuse of p-values in research - important read for everyone http://t.co/tZO8B50KYS by @david_colquhoun
required reading for anybody using hypothesis testing, p-values, fdr etc. http://t.co/GrAlJoTdHm #statistics #downwithsignificance
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
New investigation into the use and misuse of p-values in research - important read for everyone http://t.co/tZO8B50KYS by @david_colquhoun
Fantastic discussion of p-values by @david_colquhoun http://t.co/c5j8VSfge1
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
Nice paper! If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time http://t.co/rWkoL4HA6Y
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
HT @david_colquhoun @mendel_random http://t.co/ZOUORise0d "An investigation of the false discovery rate & the misinterpretation of p-values"
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
HT @david_colquhoun @mendel_random http://t.co/ZOUORise0d "An investigation of the false discovery rate & the misinterpretation of p-values"
Nice paper! If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time http://t.co/rWkoL4HA6Y
Nice paper! If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time http://t.co/rWkoL4HA6Y
Nice paper! If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time http://t.co/rWkoL4HA6Y
Like famous '1/2 of biomed studies are wrong' paper? You'll love this: using p=0.05 --> false conclusion 30% of time: http://t.co/It1Z3NOtaA
Pesky p values. Interpret yours with care: http://t.co/2qdLyas743 #OpenScience #OA #significance #stats @david_colquhoun
"@AthleticEd: A really nice article discussing the flaws in current research #statistics http://t.co/6yKexTitu6 @RSocPublishing"
h/t @SamWangPhD wise words on significance assertions ... or not making a fool of yourself http://t.co/xKZgsQ3mCe http://t.co/YDhLf2EbQs
Pesky p values. Interpret yours with care: http://t.co/2qdLyas743 #OpenScience #OA #significance #stats @david_colquhoun
"@AthleticEd: A really nice article discussing the flaws in current research #statistics http://t.co/6yKexTitu6 @RSocPublishing"
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
required reading for anybody using hypothesis testing, p-values, fdr etc. http://t.co/GrAlJoTdHm #statistics #downwithsignificance
Pesky p values. Interpret yours with care: http://t.co/2qdLyas743 #OpenScience #OA #significance #stats @david_colquhoun
Pesky p values. Interpret yours with care: http://t.co/2qdLyas743 #OpenScience #OA #significance #stats @david_colquhoun
"if you use p=0.05 as a criterion for claiming... an effect you will make a fool of yourself >=30% of the time." http://t.co/exDGATKDsL
"if you use p=0.05 as a criterion for claiming... an effect you will make a fool of yourself >=30% of the time." http://t.co/exDGATKDsL
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
"if you use p=0.05 as a criterion for claiming... an effect you will make a fool of yourself >=30% of the time." http://t.co/exDGATKDsL
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
Paper on misinterpreting p-values by @david_colquhoun http://t.co/NUleRfVVnD But I don't think p<.001 is a solution: http://t.co/sfF48LWd3Y
required reading for anybody using hypothesis testing, p-values, fdr etc. http://t.co/GrAlJoTdHm #statistics #downwithsignificance
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
required reading for anybody using hypothesis testing, p-values, fdr etc. http://t.co/GrAlJoTdHm #statistics #downwithsignificance
Interpretation of P values is now in a real journal. 5 months after going public on arXiv http://t.co/Kkg0nipAid
@Keith_Laws @BPSOfficial @Neuro_Skeptic check http://t.co/TodYshVE0Z by @david_colquhoun for excellent insights on replication issues
Paper on misinterpreting p-values by @david_colquhoun http://t.co/NUleRfVVnD But I don't think p<.001 is a solution: http://t.co/sfF48LWd3Y
@jokkeholmberg similar paper on blog since March http://t.co/19wMbMs99T On arXiv since July http://t.co/YGxPXERIVc Now it has a DOI
@edyong209 worth reading alongside @david_colquhoun's latest on false discovery rates? http://t.co/JKqszsjua2
@Keith_Laws @BPSOfficial @Neuro_Skeptic check http://t.co/TodYshVE0Z by @david_colquhoun for excellent insights on replication issues
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Excellent piece on the pitfalls of significance and misinterpretation of p-values by @david_colquhoun http://t.co/lmUdnD1ORd
"…slave culture in which armies of postdocs are pushed into producing more & more papers for the glory of the boss…" http://t.co/TdcshFi0D0
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
@mo_sander thanks very much for spotting the typo in http://t.co/Kkg0nipAid
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Still glorifying your p=0.047? Go read @david_colquhoun's thoru dissection of those treacherous p-values http://t.co/hOSIvOOGtO …
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
I'll never look at p= 0.05 in the same way again. Great article explaining it's weaknesses by @david_colquhoun http://t.co/VVoipWhc7J”
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
Very readable article by @david_colquhoun on how to judge significance in scientific results. Required reading. http://t.co/XsmGGWSrbQ
"If you use p=0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time" http://t.co/aG4pJHsb50
"If you use p = 0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time." http://t.co/SZ7hHoV4jT
Still think careful p-value testing with high power is OK for science? - read this. Chances we will change? < 5% IMO http://t.co/5dZUAUkAL0
"Never, ever, use the word ‘significant’ in a paper. It is arbitrary, and […] deeply misleading" http://t.co/pxdeqPqaqe By @david_colquhoun
@lakens @Keith_Laws feel frr to use comments at the bottom http://t.co/Kkg0nipAid
"If you use p = 0.05 to suggest that you have made a discovery, you will be wrong at least 30% of the time." http://t.co/SZ7hHoV4jT
Paper on misinterpreting p-values by @david_colquhoun http://t.co/NUleRfVVnD But I don't think p<.001 is a solution: http://t.co/sfF48LWd3Y
Paper on misinterpreting p-values by @david_colquhoun http://t.co/NUleRfVVnD But I don't think p<.001 is a solution: http://t.co/sfF48LWd3Y
The typo in paper about false discovery rates is fixed in a comment at bottom http://t.co/Kkg0nipAid
Cool paper in @RSocPublishing by @david_colquhoun about #FDR and #pvalues: http://t.co/HMO1eoa48D
Yet another article urging us to rethink our "positive" results, and plenty of reasons to be a sceptic. http://t.co/RwiXQjedwq
Yet another article urging us to rethink our "positive" results, and plenty of reasons to be a sceptic. http://t.co/RwiXQjedwq