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From | Melissa King <melissakng@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Predicted Odds Following Logistic Regression |
Date | Sat, 15 Jan 2011 14:28:17 -0500 |
This is a question regarding commands for displaying predicted odds following logistic regression. I am using logistic regression to estimate how about ten independent variables, including four different medical services, impact a person’s odds of hospital admission. Some of the medical services turn out to have a strong and statistically significant impact on hospital admission. For example, the odds ratio estimated for SERVICE1 is 0.044, which I interpret as meaning that those who receive SERVICE1 have a 96 percent decrease in odds of hospital admission. After running the logistic regression, I used – adjust – to display the predicted odds of inpatient admission for SERVICE1: adjust, by (SERVICE1) exp The following results are returned: SERVICE1 0 = 1.29 1 = .48 Based upon the predicted odds returned by adjust, switching from SERVICE1 = 0 to SERVICE1 = 1 does not appear to result in a 96 percent decrease in odds of hospital admission. The decrease in odds appears to be far less. In the Stata Journal article “predict and adjust with logistic regression” (2007), Maarten Buis pointed out that – adjust – will return predictions for people with SERVICE1 = 1 who have average values on all of the other independent variables. Could anyone confirm whether this is why the decrease in odds resulting from a switch from SERVICE1 = 0 to SERVICE1 = 1 predicted by – adjust – does not match the decrease estimated by my logistic regression model? In other words, do the odds ratios estimated by my logistic regression model represent the average for people who receive SERVICE1, whereas the predicted odds returned by – adjust – represent people who receive SERVICE1 and who have average values on all the other independent variables? I apologize if this question is very basic. Not only am I a new Stata user, but this is my first time running a logistic regression! Thank you for your time and assistance. Melissa -- Melissa King www.realhealthpolicy.com * * 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/