2015 Experimentation Knowledge Discovery 
The Unofficial Google Data Science Blog
JULY 22, 2020
Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
accounting for effects "orthogonal" to the randomization used in experimentation. For example in ads, experiments using cookies (users) as experimental units are not suited to capture the impact of a treatment on advertisers or publishers nor their reaction to it. To see this, imagine you want to study long-term effects in an A/B test.
Expert insights. Personalized for you.
95 
Let's personalize your content