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The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
Swift SDK for Optimizely Feature Experimentation and Optimizely Full Stack (legacy)
A fast and lightweight AB-Testing library for React and Next.js based on hooks and functional components. Full Typescript support and result caching is possible.
iOS SDK client for Split Software
Simple React AB test component
Dynamic react component to ease AB testing via AB test providers like vwo, optimizely etc.
Here I demonstrate the performance difference between the Poisson and the classic bootstrap by estimating the confidence interval for the difference of CTRs of the two user groups
:a: :b: :copyright: An Implementation of the ABC permutation test using R and C++ for Computational Statistics course CM0527
Mosco is a set of statistical toolkits for A/B test hypothesis testing. Powered by Streamlit, Mosco provides a web-based server-side app interface and is designed for small-to-medium firms to perform A/B test analysis for business decision making.
An analysis of A/B Test results to help an e-commerce site decide whether or not they should implement a new page design.
Project completed within the module "Final project" of the Data Analyst course on the Karpov Courses platform
This is your the only entry point to deeply understand controlled experiments and begin to use them in practice.
Flutter App for "Powering your app with Firebase" TechTalk.
The executive team conducted a market test with a new menu and needs to figure whether the new menu can drive enough sales to offset the cost of marketing the new menu. The task is to analyze the A/B test and write up a recommendation to whether the Round Roasters chain should launch this new menu.
UX Analytics & A/B Testing
a spark extensions to help analyze abtest experiments based on raw data
Replication of a RCT (A/B Test) originally done by Dr. Andrew Friedson.
I will be working to understand the results of an A/B test run by an e-commerce website.
This Project is part of the Udacity Advanced Data Analysis Nanodegree Program, This is project two (Analyze A/B Test Results).
Projects completed for Data Analyst Course by Yandex.Practicum. Main working tools: Python and Pandas.
Hands-on: AB Test and Multi-Armed Bandit
Analyzing A/B Test Results of E-Commerce Website
A simple web app that helps identify statistical interactions between A/B tests.
Project completed within the module "Final project" of the Data Analyst course on the Karpov Courses platform