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Compiler-Average-Causal-Effect and its Impact on A/B Testing in Web and Mobile
| Term |
Description |
Impact on A/B Testing |
| Compiler-Average-Causal-Effect |
A statistical method used to measure the causal effect of a treatment on an outcome variable, while controlling for other variables that may affect the outcome. |
Helps to accurately measure the impact of a treatment or change in a website or mobile app, by controlling for other factors that may influence the outcome. This allows for more reliable and accurate A/B testing results. |
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