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| From | Owen Gallupe <ogallupe@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: Model for Poisson-shaped distribution but with non-count data |
| Date | Mon, 5 Dec 2011 15:34:09 -0800 |
Hello, Does anyone know what type of regression model I should use? I've been searching and have not been able to find a modeling approach designed to meet the distributional properties of a variable I am hoping to analyse. The dependent variable has what looks like a Poisson distribution, but with non-count data. About 28% of the sample scores somewhere between 0 and 1. The highest value is 182.6. Skew = 2.256; kurtosis = 10.002. N=2776. I have tried bootstrapped linear regressions and linear regressions after employing a normalizing transformation using lnskew0 (though the normalization is not perfect and results in a bimodal residual distribution). One further complication is that I need to include random intercepts. If anyone could help, it would be very much appreciated. Regards, Owen Gallupe * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/