A Survey of Causal Inference Applications at Netflix
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A Survey of Causal Inference Applications at Netflix
One of my goals in this chapter is to explain, from the point of view of causal diagrams, precisely why RCTs allow us to estimate the causal effect X Y without falling prey to confounder bias.
data-analytic and gamification approach to recruiting
The rewards of having a causal model that can answer counterfactual questions are immense. Finding out why a blunder occurred allows us to take the right corrective measures in the future. Finding out why a treatment worked on some people and not on others can lead to a new cure for a disease. Answering the question “What if things had been differe
... See moreOne of my goals in this chapter is to explain, from the point of view of causal diagrams, precisely why RCTs allow us to estimate the causal effect X Y without falling prey to confounder bias.
they enable us to test a causal model, discover new models, evaluate effects of interventions, and much more.