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From |
Maarten buis <maartenbuis@yahoo.co.uk> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
RE: st: RE: Poisson Regression |

Date |
Tue, 15 Feb 2011 08:26:47 +0000 (GMT) |

--- Visintainer, Paul wrote: > My frustration is that when the outcome is common and > logistic regression is used, there virtually no discussion > of clinical relevance -- only statistical significance, > (e.g., is a significant odds ratio of 2.5 clinically > relevant? Perhaps if the base risk is 2%; perhaps not > if the base risk 73%. This is where Stata has a problem: it automatically suppresses the display of the baseline odds when you ask for odds ratios (and baseline hazard when you ask for hazard ratios, and baseline incidence rate when you ask for incidence rate ratios, etc.). To me the baseline odds serve two purposes: First, is it really helps in communicating the results. By discussing it first in the results section of a paper you refresh the readers memory on what an odds is. It also makes the model less "magical" if you frame it in number of high status jobs, deaths, or successes per low status job, survivals, or failures. You frame the model in terms that the reader care about. Second, it helps when trying to determine the size of of an effect. An odds ratio of 2 is not very impressive if the baseline odds is small 2 times a small number is still a small number, while is much more impressive if the baseline odds is large. Alternatively, if your baseline odds is already 50 successes per failure, then any increase is not going to have much substantive meaning. There is a trick you can use to display the baseline odds, which is discussed in a slighly different context in: Roger Newson (2003) "Stata tip 1: The eform() option of regress" The stata Journal, 3(4), 445. <http://www.stata-journal.com/article.html?article=st0054> -- Maarten Ps. those who have followed the list a while will have noticed that I made this point before. I hope I did not bore them too much. -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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***From:*Alexandra Boing <alexandraboing@yahoo.com.br>

**References**:**RE: st: RE: Poisson Regression***From:*"Visintainer, Paul" <Paul.Visintainer@baystatehealth.org>

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