@Iplaywithgerms This paper gives documentation on software (with causal reasoning, assumptions reviewed in appendix) for a parametric approach to estimating either "total effects" or "controlled direct effects" with competing events and time-varying

@JuliaLMarcus @Iplaywithgerms Total effects capture paths by which treatment affects competing event (e.g. protective total effect of lifesaving treatment on dementia may be wholly/partially due to effect on survival). Controlled direct effects do not capture these paths
@JuliaLMarcus @Iplaywithgerms More detailed reasoning on the difference and tradeoffs between total and controlled direct effects and causal reasoning in the point treatment context provided here along with description of some estimators and code.
https://t.co/uRQcU1NqJd
@JuliaLMarcus @Iplaywithgerms If you are familiar with more robust approaches like IPW or even better TMLE for time-varying treatment, these are trivially adapted to go after the controlled direct effect by simply treating competing events like loss to follow-up (censoring). e.g. see
https://t.co/kew3HltAev
@JuliaLMarcus @Iplaywithgerms Examples of IPW estimation of the total effect of a time-varying treatment described in Appendix D of this paper:
https://t.co/RNhcgTBMkb
And here
https://t.co/rMWmwFBWwV
Others in reference lists of above papers.
@JuliaLMarcus @Iplaywithgerms As discussed here
https://t.co/uRQcU1NqJd
even when treatment is time-fixed, hazard ratios (whether cause-specific or subdistribution) do not quantify causal effects (even when counterfactual contrasts) except in special circumstances that will not hold in most studies
@JuliaLMarcus @Iplaywithgerms These circumstances can fail even when the study is a perfectly executed trial (no loss to follow-up, perfect adherence to the treatment assignment) and even when the treatment does not affect the competing event.
@JuliaLMarcus @Iplaywithgerms More recent work on the separable effects provides notions of mechanism in this setting that, unlike controlled direct effects (effects under eliminating competing events), have real-world, clinical relevance. This does not accommodate t-v treatments (yet, in the works).
@JuliaLMarcus @Iplaywithgerms Here are some papers on the separable effects for point treatments (Epidemiology commentary forthcoming focused on fertility trials that is less technical):
https://t.co/35OJDe8dD6
https://t.co/O08FNqPWWb
https://t.co/wKCrItvNhT

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THE WINNERS OF THE 24 HOUR STARTUP CHALLENGE

Remember, this money is just fun. If you launched a product (or even attempted a launch) - you did something worth MUCH more than $1,000.

#24hrstartup

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Lattes For Change - Skip a latte and save a life.

https://t.co/M75RAirZzs

@frantzfries built a platform where you can see how skipping your morning latte could do for the world.

A great product for a great cause.

Congrats Chris on winning $250!


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Instaland - Create amazing landing pages for your followers.

https://t.co/5KkveJTAsy

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CoderStory - Learn to code from developers across the globe!

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Harvard is being eclipsed by institutions that have different ideas about how to run a 21st Century institution. Stanford, for one; the UC system; the "public Ivys".