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From |
Reinhardt Jan Dietrich <jan.reinhardt@paranet.ch> |

To |
"statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |

Subject |
st: RE: Poisson regression with score/scale as DV |

Date |
Tue, 3 Apr 2012 08:07:13 +0000 |

You could use nbvargr to compare observed probabilities of your outcome with poisson probabilities ... However, I do not fully understand how you construct your outcome score ... Ordinal items should definitely not be summed up ... However, if you have something like (no problem, some problem, major problem ...) you could dichotomize each item so that 1 is indicative of any problem and then build a sum index which should be aprox. Poisson distributed... Best Jan -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Clinton Thompson Sent: Dienstag, 3. April 2012 09:59 To: statalist@hsphsun2.harvard.edu Subject: st: Poisson regression with score/scale as DV Hello All, Based on Austin Nichol's July 2010 presentation on use of Poisson for non-negative skewed variables (http://www.stata.com/meeting/boston10/boston10_nichols.pdf) as well as Bill Gould's Stata blog post about the same (http://blog.stata.com/2011/08/22/use-poisson-rather-than-regress-tell-a-friend/), I'm considering Poisson for a problem I have, albeit the dependent variable is different enough from their examples that I'm unsure whether Poisson is entirely appropriate. In my problem, the DV is a "score" assigned to each subject based on their responses to several component (ordinal scaled) questions. This variable is bound between zero and 27 and the distribution of responses is decidedly non-normal (pile-up of responses at the zero value). Any thoughts on whether Poisson is still a good candidate or should I be considering other approaches? And if Poisson is not the right way to go, any advice on how to model this DV? I'm using Stata/SE 11.2 for Windows. Many Thanks, Clint Thompson * * 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/ * * 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/

**Follow-Ups**:**Re: st: RE: Poisson regression with score/scale as DV***From:*Nick Cox <njcoxstata@gmail.com>

**References**:**st: Poisson regression with score/scale as DV***From:*Clinton Thompson <clintonjthompson@gmail.com>

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