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Interpretation of log transformations in linear models: just how accurate is it?
If linear regression is statistics/econometrics 101, then log transformations of dependent and independent variables and the associated interpretations must be statistics/econometrics 102. Typically, you are told that: If you log-transform an independent variable, then the regression coefficient \( b \) associated with that variable can be interpreted as “for every...
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Kiti blogo įrašai
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P-value is the probability that the treatment effect is larger than zero (under certain conditions)
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Estimating long-term detection, win, and error rates in A/B testing
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Modeling tenure effects the Bayesian way
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A/B testing, zero-inflated (truncated) distributions and power
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The Jungle of Metrics Layers and its Invisible Elephant
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Grappling with privilege