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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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Convert odds ratio back to logit - logistic regression

To convert a logistic regression coefficient into an odds ratio, you exponentiate it: exp(.3196606) # 1.37666 To convert it back, you log it: log(1.37666) # 0.3196606 …
coip's user avatar
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3 votes
0 answers
403 views

Is Omitted Variable Bias Always Bad? What are the implications of omitting variables from a ...

Say I'm using multiple logistic regression to help caterers in a large city predict the probability invited adults will come to a wedding. …
coip's user avatar
  • 315
3 votes
1 answer
511 views

Including a quadratic effect for an ordinal variable in a regression analysis

| 2 | 4 30-60 minutes | 3 | 9 1-2 hours | 4 | 16 2 hours or more | 5 | 25 Would this be okay in a regression
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  • 315
4 votes
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955 views

What are the benefits of the z-score interpretation of probit regression coefficients?

Many prefer logit simply because the coefficients can easily be converted into odds ratios, which are "more intuitive" to interpret than the z-score interpretation of probit regression analyses. … Does the latter have any merits over the odds ratios of the logistic regression, in terms of interpretation of the model? …
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