Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, is already up and running.

[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

RE: st: Interpretation of categorical independent variable

From   "Martin Weiss" <>
To   <>
Subject   RE: st: Interpretation of categorical independent variable
Date   Mon, 13 Sep 2010 12:54:19 +0200


You want to read up on NJC`s


-----Original Message-----
[] On Behalf Of Ronan Conroy
Sent: Montag, 13. September 2010 12:52
Subject: Re: st: Interpretation of categorical independent variable

On 10 MFómh 2010, at 09:23, Maarten buis wrote:

> When interpreting the odds ratios, I find it helpful to have
> the baseline odds. Unfortunately, Stata supresses this by
> default, but there is a trick you can use to get it displayed,
> which I learned from (Newson 2003).

Thank you to Martin for this very instructive example.

May I also suggest that many people find odds difficult to grasp. I am  
fond of illustrating logistic regression models by calculating  
predicted probabilities at key values of continuous variables. For  
example, I have just finished a paper on worry which calculates  
prevalences at ages 65, 75, 85 and 95 in different groups of interest  
and displays them graphically.

Ronán Conroy
Associate Professor
Division of Population Health Sciences
Royal College of Surgeons in Ireland
Epidemiology Department,
Beaux Lane House, Dublin 2, Ireland
+353 (0)1 402 2431
+353 (0)87 799 97 95
+353 (0)1 402 2764 (Fax - remember them?)

P    Before printing, think about the environment

*   For searches and help try:

*   For searches and help try:

© Copyright 1996–2016 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index