"Maximizing Treatment Effectiveness with CACE"

Identification-of-CACE

Identification-of-CACE (Complier Average Causal Effect) is a statistical method used to estimate the effect of a treatment or intervention on a specific group of individuals who comply with the treatment. This method is particularly useful in randomized controlled trials where not all participants comply with the treatment assigned to them.

Identification-of-CACE can impact A/B testing on web and in mobile by providing a more accurate estimate of the treatment effect. By only analyzing the data from participants who comply with the treatment, the results are less biased and more representative of the true effect of the treatment. This can lead to more informed decision-making and better optimization of the website or mobile app.

Pros	Cons
Provides a more accurate estimate of treatment effect	Requires a larger sample size to ensure enough compliant participants
Reduces bias in the results	May not be feasible in all situations
Allows for more informed decision-making	Can be more complex to implement and analyze

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