Hi all,
More a statistics than a STATA programming question: I am working on cross-sectional data and I have fit the 1.log-binomial regression model, 2.robust Poisson regression and the 3. logistic regression model. My outcome is rare (<1%) and the data are clustered in two levels. My question is: why while all results are similar (PR and POR) only the robust Poisson regression provides a significant result? Can I use any model without justification?
Thanks
More a statistics than a STATA programming question: I am working on cross-sectional data and I have fit the 1.log-binomial regression model, 2.robust Poisson regression and the 3. logistic regression model. My outcome is rare (<1%) and the data are clustered in two levels. My question is: why while all results are similar (PR and POR) only the robust Poisson regression provides a significant result? Can I use any model without justification?
Thanks
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