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Dec 15, 2016 10:27 AM
(1722 views)

My data consists of two predictors, one with 3 responses (time at exposure) and 1 with two responses(gender.

I can do a log reg just fine and I cross my two variables, but I'm not sure how to interpret my OR's, .

I want to know: OR for early exposed females. How do I get that? Is that already in the table, or do I need multiply the OR for females with the OR for early exposed?

And if it's already in the table, how do I get early exposed males?

I've talked with my advisor and he insists that nominal is the way to go, so that's what I have done

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Dec 15, 2016 1:23 PM
(3404 views)

Solution

You are correct - it appears that JMP does not provide odds ratios for the interactions. Further, it seems to be somewhat complex to calculate them, but it can be done. I found the following to provide some detail:

http://www.ats.ucla.edu/stat/stata/seminars/interaction_sem/interaction_sem.htm

Also, the early slides in

http://www.cantab.net/users/filimon/cursoFCDEF/will/logistic_interact.pdf

appear to show what to do.

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Dec 15, 2016 12:11 PM
(1711 views)

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Dec 15, 2016 1:06 PM
(1707 views)

But I think I already did that? I have 3 model effects: Gender, Exposure status and gender*exposure status, and I don't get any ORs for that. I get parameter estimates and effect likelihood ratio for it though, that's why I thought I might be able to calculate it. It might also be a part of the given OR's I just can't figure it out.

This is the OR output, but where is female-late neutering against unaltered?

Level1 | /Level2 | Odds Ratio | Prob>Chisq | Lower 95% | Upper 95% |

Late neutering | Early neutering | 2.8559149 | 0.1924 | 0.5895623 | 13.834415 |

Unaltered | Early neutering | 1.2280227 | 0.7489 | 0.3490645 | 4.3202328 |

Unaltered | Late neutering | 0.4299927 | 0.1203 | 0.1482636 | 1.2470607 |

Early neutering | Late neutering | 0.3501505 | 0.1924 | 0.0722835 | 1.6961735 |

Early neutering | Unaltered | 0.8143172 | 0.7489 | 0.231469 | 2.8648004 |

Late neutering | Unaltered | 2.3256207 | 0.1203 | 0.8018856 | 6.744742 |

Odds Ratios for Gender | |||||

Level1 | /Level2 | Odds Ratio | Prob>Chisq | Lower 95% | Upper 95% |

Male | Female | 1.1581507 | 0.789 | 0.3950657 | 3.3951648 |

Female | Male | 0.8634455 | 0.789 | 0.2945365 | 2.5312246 |

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Dec 15, 2016 1:23 PM
(3405 views)

You are correct - it appears that JMP does not provide odds ratios for the interactions. Further, it seems to be somewhat complex to calculate them, but it can be done. I found the following to provide some detail:

http://www.ats.ucla.edu/stat/stata/seminars/interaction_sem/interaction_sem.htm

Also, the early slides in

http://www.cantab.net/users/filimon/cursoFCDEF/will/logistic_interact.pdf

appear to show what to do.

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Dec 15, 2016 2:05 PM
(1700 views)

Oh dear,

Well, thank you so much for those links, they're exactly what I need!

Well, thank you so much for those links, they're exactly what I need!