Tag：control group
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3.12 notes geo – Common charts
This picture is quoted from the self generating letter skill tree, Xiaojie’s courseware, focusing on the WeChat official account: the birth letter skill tree, the Xin Xing planet. Heatmaps What is a heat map In essence, it uses color to intuitively represent a numerical matrix. Each small square on the graph is a numerical value. […]
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Data analysis (21): Uber and Netflix often use multiple difference model to quantify the effect of marketing activities and product revision
1 case background at presentUber、NetflixThe common models of causal inference in business analysis are difference in difference and matching. At present, the independent analysis tools of related methods have been established in its platform. This article will introduce the real difference between the double difference method and the ordinary regression method in the evaluation of […]
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How to do a perfect abtest?
This article starts with WeChat official account of vivo Internet technology.Link: https://mp.weixin.qq.com/s/mO5MdwG7apD6RzDhFwZhogAuthor: duzhimin More and more companies are trying abtest, either building their own systems or relying on third-party systems. So what are the necessary basic knowledge when we conduct abtest? How to carry out AB experiment step by step? In this paper, we will […]
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AB experimental population oriented hte model 4 – double machine learning
The purpose of heterogeneous treatment effect is to quantify the differential effects of experiments on different populations, and then to conduct differential experiments or adjust experiments through crowd oriented / numerical strategies. Double machine learning takes treatment as a feature, and calculates the difference effect of the experiment by estimating the influence of the feature […]
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AB experimental population oriented hte model 5 – meta learner
Meta learner is different from the causal tree direct estimation model introduced before, and belongs to one of the indirect estimation models. It does not directly model the treatment effect, but models the response effect (target), and uses the change of target caused by treatment as the estimation of hte. There are three main methods: […]
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High end play method series of AB Experiment 4 – low penetration of experiment? User not touched? CACE/LATE
CACE full name compiler average casual effect or local average treatment effect. The application in the observation data needs to be combined with the instrument variable. Here we only discuss some learning provided by the CACE framework for random AB experiments. Have you ever encountered the following low experimental permeability? The new function entry is […]
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AB experimental high-end play series 3 – AB group is not random? Observation test? Propensity Score
background It is said that random is the core of AB experiment. Why is random so important? It is said that there is no difference in AB group as a whole because of randomization, so as to accurately estimate the experimental effect (ATE) \[ ATE = E(Y_t(1) – Y_c(0)) \] How is random defined According […]