[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

From |
David Airey <[email protected]> |

To |
[email protected] |

Subject |
Re: st: linear probability model (LPM) |

Date |
Tue, 15 Jan 2008 09:14:21 -0600 |

.

I seem to have missed this thread, but this post suggests it was a little heated or somebody is feeling a little punchy.

Quite a few pages at the UCLA ATS Stata site describe interpretation of the logit/probit models in terms of predicted probabilities. That seems to also be the basis for a package from that group (Mitchell) on interpreting main effects and interactions in logit models (vibl), through graphics of the predicted probabilities. So even when using the logit models, thinking in terms of probabilities seems worthwhile, and doesn't require a linear probability model (with constraints to keep the predictions between 0 and 1). The Spost package and literature is also available to help sensibly and intelligently interpret logit and other categorical dependent variable outcome models.

-Dave

On Jan 15, 2008, at 9:00 AM, Nick Cox wrote:

Well, Maarten is sensible, intelligent and a non-statistician... Perhaps if you a non-statistician you need to be very sensible and very intelligent to understand odds ratios... Nick Paul Seed My experience is that even the most sensible & intelligent & non-statistician is likely to be defeated by odds ratios. Time & again, I have known respected colleagues present them as though they are risk ratios, & they seem quite surprised when I point out the differences. ... Maarten buisI disagree, both measures are perfectly understandable. With odds ratios you are representing chance by at odds instead of probability. Both are easy to understand: odds give you the expected number of successes for every failure, while probability gives you the expected proportion of successes. With odds ratios groups are compared by calculating the ratio: e.g. the odds of success for men is 10% higher than the odds of succes for women. With risk difference you are comparing the groups by computing differences.* * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

* * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**RE: st: linear probability model (LPM)***From:*"Nick Cox" <[email protected]>

**References**:**Re: st: linear probability model (LPM)***From:*Paul Seed <[email protected]>

**RE: st: linear probability model (LPM)***From:*"Nick Cox" <[email protected]>

- Prev by Date:
**RE: st: linear probability model (LPM)** - Next by Date:
**Re: st: ST: simple date question** - Previous by thread:
**RE: st: linear probability model (LPM)** - Next by thread:
**RE: st: linear probability model (LPM)** - Index(es):

© Copyright 1996–2024 StataCorp LLC | Terms of use | Privacy | Contact us | What's new | Site index |