Discover and read the best of Twitter Threads about #IPweighting

Most recents (1)

#Causalinference that talks the talk and walks the walk.

Claim: "Continuing #breastcancer screening past age 75 doesn't reduce 8-year breast cancer mortality."

Emulation of a #TargetTrial led by @xabieradrian with Medicare data
doi.org/10.7326/M18-11…

Let the discussion start. Image
@xabieradrian @AnnalsofIM @HarvardEpi @harvard_data @HarvardBiostats @HarvardChanSPH @CMSGov @CMSgovPress @MonganInstitute @MassGeneralNews 2)

Because there's so much talk about #causalinference around here.

Computer scientists, economists, statisticians... talk a lot about the merits of #DeepLearning, instrumental variables, or whatever their preferred methodology is.

Everybody: This is your chance to shine. Image
3)

No more toy examples. A real world question:

"At what age should #breastcancer screening stop?"

Need to compare the mortality of women under two dynamic screening strategies using a database of insurance claims with time-varying treatments and confounders.

How'd you do it? Image
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