Draw your assumptions before your conclusions. Registration is open for our "Causal Diagrams" course @HarvardOnline bit.ly/2uQssso
@HarvardOnline This piece on our #CausalDiagrams course includes my truest quote ever: "If they get bored, they will stop watching" bit.ly/2w748W6
@HarvardOnline A week to go and 3000+ people from 120 countries registered already. I'd need 20 yrs to reach so many students in my regular Harvard classes
@HarvardOnline Lesson #2 of our free "Causal Diagrams" course is now online. Learn why, in a study, #confounding is absolute but confounders are relative.
@HarvardOnline Show off next time someone mentions time-varying #confounding & treatment-confounder feedback. Final lesson of our free course is now live.
@HarvardOnline End the year wiser by listening to what Jamie Robins has to say about causal diagrams, study design, and data analysis. 15 minutes of straight talk on #causalinference.
Watch the full interview at edx.org/course/causal-…
Over 10,000 people from 150 countries registered for our "Causal Diagrams" course!
If you are thinking of joining them, bear in mind that discussion boards close on March 27 (course materials will continue to be freely available).
@HarvardChanSPH @HarvardEpi @HarvardBiostats
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