I have mostly worked with Observational data where the treatment assignment was not randomized. In the past, I have used PSM, IPTW to balance and then calculate
I would like to know how to calculate the estimated impact of the implementation of a new feature (on a website for example). To put it in context, this is a ca
I have built an automation framework for testing our web app that runs as after each new deploy to our staging environment, as a regression pack. Now the issue
I'm running an A/B test to see if showing more items is better for conversion. But it seems that the code sometimes causes errors.. But I can't find any errors