RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
"An example of the latter is the assumption of reporting honesty… (p. 13)... Whether informal guidelines or formal modeling technologies, all inferential methods are practical aids with strengths and limitations, not oracles of truth (p. 14)... https://t
RT @amyalkon: @daniel_corcos @trishgreenhalgh @eivinden @MisakCheryl Big influence for me: @Lester_Domes (Sander Greenland) on research met…
@daniel_corcos @trishgreenhalgh @eivinden @MisakCheryl Big influence for me: @Lester_Domes (Sander Greenland) on research methodology/shortcomings. The Need for Cog. Science in Methodology https://t.co/1Tql1uDqUb For & Against Methodologies: Some Per
@MaartenvSmeden @Lester_Domes (Sander Greenland) has a great paper about why causal inference is broader than quantifying causal effects, which folks might enjoy: https://t.co/acpfWmXYmE
Second, even if we were to believe in magic it makes no sense to penalize your scientific inference by the number of things you find interesting (inference is not the same as statistics or modelling, for more on that see Greenland: https://t.co/u4IPtuxjrq
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
RT @Lester_Domes: I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -S…
I think the posts below by Syll on causal modeling give valuable comments beyond my 2017 essay https://t.co/EeyqsGfLuV -Some methodological perspectives on causal modeling in economics May2021 https://t.co/oQ7uolQNxf -Causal identification Jan2022 https://
RT @kaz_yos: For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates - PubMed https://t.co/hSrB…
Look forward to reading this paper but quote to misses how most scientists use statistics, which is that they are applied mindlessly and then a singular paper is cited to say "it's valid". Sander's quote works if flawed methods are only applied by a highl
RT @matsouaka: ...conversely, do not reject out of hand any methodology because it is flawed or limited, for a methodology may perform adeq…
...conversely, do not reject out of hand any methodology because it is flawed or limited, for a methodology may perform adequately for some purposes despite its flaws." - Sander Greenland https://t.co/Eli5f6UQKB
RT @kaz_yos: For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates - PubMed https://t.co/hSrB…
RT @kaz_yos: For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates - PubMed https://t.co/hSrB…
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates - PubMed https://t.co/hSrBl8yCUw
Characterizing Feyerabend as an anarchist just doesn't compute with me. I believe he is misquoted sometimes.
Tomorrow I’m leading the General Epidemiologic Methods journal club with a paper by Sander Greenland in 2017 (link below). If you’re in the area, come join. Or, if you’ve read & have some thoughts to share, let me know! Happy to report back after 📑 ht
I am not sure that 'anarchist' is an apt description of Feyerabend.
I heard Feyerabend & Meehl as a teen at either the Univ of Wisc or in Boston. I read his Farewell to Reason in the 90s'. And I was reminded of Feyerabend in reading Sander Greenland's @Lester_Domes For & Against Methodologies https://t.co/H0jDHAmN2
@mikejohansenmd @jd_wilko It’s an educational training problem. For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates https://t.co/CjiNP1YX6k https://t.co/Kc8pxemrwT
RT @NeuroStats: @s_r_constantin Being a pluralist in stats/ml/epi fields makes sense just because no single method is good at everything. T…
@s_r_constantin Being a pluralist in stats/ml/epi fields makes sense just because no single method is good at everything. There is a some history of influential stats/epi folks influenced by Feyerabend. E.g. https://t.co/rwVWLZCpl4
RT @JadePinkSameera: A fascinating/informed commentary: Sander Greenland @Lester_Domes https://t.co/PGUHfh5tZP
A fascinating/informed commentary: Sander Greenland @Lester_Domes
RT @JadePinkSameera: Sander Greenland: For & Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates ht…
Sander Greenland: For & Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates https://t.co/jwkePmMCOP @Lester_Domes
RT @NeuroStats: @DinaPomeranz I struggle with this myself and whether skepticism is unfair or warranted depends on standards of sub-fields.…
@DinaPomeranz I struggle with this myself and whether skepticism is unfair or warranted depends on standards of sub-fields. You trust a field that embraces severe testing, model checking using a plurality of frameworks. Greenland's intro suggests how to be
But see Greenland, For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates, European J Epidemiology https://t.co/xD0fWkhvEk Summary: different communities name the same idea differently, leading to misconceptions
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
RT @miquelporta: good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiolog…
good: Perspectives on Recent Causal and Statistical Inference Debates - S Greenland https://t.co/k6jnLZXsVz @seepidemiologia
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @psforscher: For and against methodologies: New paper by Greenland on current debates about causal inference https://t.co/UN4ZVAJIpx
RT @psforscher: For and against methodologies: New paper by Greenland on current debates about causal inference https://t.co/UN4ZVAJIpx
For and against methodologies: New paper by Greenland on current debates about causal inference https://t.co/UN4ZVAJIpx
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates | SpringerLink https://t.co/wKXW9DaJTp
«new methodologies may worsen overconfidence problems thanks to their more sophisticated appearance» https://t.co/KBJ1bziIRm
RT @CoyneoftheRealm: Epidemiology and sociology can't expect to discover numerically precise and general contextual laws like in physics ht…
Epidemiology and sociology can't expect to discover numerically precise and general contextual laws like in physics https://t.co/kBWeDVWiUs
Wow - For & Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates by Greenland https://t.co/piPhrotL6H
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
RT @johnmyleswhite: I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
I really linked this overarching piece by Sander Greenland on statistical methods: https://t.co/CiLUyu8RNl
For and Against Methodologies: https://t.co/M9DoSjhR6N
RT @PennCausal: For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates. by S. Greenland https:…
For and Against Methodologies: Some Perspectives on Recent Causal and Statistical Inference Debates. by S. Greenland https://t.co/8cIV3lfb9P
Looks great. https://t.co/YQzGSmU5JJ