Top Tweets for #GFormula
Next week: #gformula!
Jonathan Bartlett @TheStatsGeek (@LSHTM) continues the 2024-2025 CAUSALab Methods Series @karolinskainst.
📆 February 18, 2025
⏰ 15.00 CET/9.00 ET
📍Virtual
Register to attend: https://t.co/p4tKqGZSnc
#publichealth #healthdata #causalinference
Live on GitHub!
gfoRmulaICE implements a plug-in estimator of the iterative conditional expectation (ICE) representation of #gformula with a choice between singly robust & multiply-robust estimators.
Access now: https://t.co/HpjglIKJac #causalinference #targettrial #hsph
Sara Lodi of @BUSPH and @HarvardEpi made her CAUSALab summer courses debut!
Sara taught our Key Topics in Causal Inference (KTCI) attendees #gformula in an engaging Wednesday session.
#KTCI #2024CAUSALabcourses
Pygformula for #causalinference now available on our GitHub!
This comprehensive package is the 1st to implement #gformula in Python. Development led by Postdoc Fellow @JingLi17609667.
GitHub repository:
https://t.co/dtQXw0B8FR
Package documentation:
https://t.co/V1iFqmZGq5
Interested in building a foundation of #causalinference methodology?
KTCI provides a roadmap to navigate the current causal research landscape and covers topics such as #gformula, inverse probability weighting & mediation analysis.
Register for KTCI: https://t.co/qc1wGE290E
On Wednesdays, we attend Joy and Barbra's hands-on sessions! 🥳
Yesterday, our instructors and fellows covered a variety of topics including parametric #gformula for time-fixed treatments and the bias of conventional methods for time-varying treatments.
The g-null paradox threatens parametric #gformula estimates.
But the paradox is not about testing the causal null.
The g-null paradox is a form of model misspecification that may occur even if treatment has an effect.
Led by Sean McGrath, we explain 👇
https://t.co/pOGYHAJJIV
Our latest in @IJEeditorial with @beate_ritz @ER_Mayeda @AGOTO_EPI @ytsugawa1 @epi_vahe and Drs. Nianogo, Telesca, Sugiyama, showed increased all-cause mortality risks among people with low HbA1c without DM. Careful monitoring may be needed for them. #hba1c #death #gformula
A recent @IJEeditorial article uses #g-formulas and #machine learning to examine low #HbA1c levels and all-cause or #cardiovascular #mortality among people without #diabetes: #NHANES @ki_endoepi @beate_ritz
https://t.co/AYsrdkBXE2
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