glm — Generalized linear models - Stata
or linear regression. If g() is the logit function and yis distributed as Bernoulli, we have logit E(y) = x , y˘Bernoulli or logistic regression. If g() is the natural log function and yis distributed as Poisson, we have ln E(y) = x , y˘Poisson or Poisson regression, also known as the log-linear model. Other combinations are possible.
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