Hello, I'm preparing to run a logit model predicting the odds of NOT
testing for an STD.
As you can see from the table below, 2934 (about 86%) of respondents have my outcome of interest (i.e., have not tested for an STD).
I realized that because of this unequal unequal distribution of the dependent variable, all crosstabulations have higher proportions within the untested category of those who have not been tested, regardless of the distribution of the other variable.
I have a feeling that these could bias my estimates in a way - since the not-tested category seemed over-estimated. For example, given the unequal groupings, I think I am only restricted to modeling failure to test (the zero outcome), as modeling for ever tested (1) could lead to unstable estimates.
So my question is it worth producing any crosstabs showing the distribution of socio-demographic variables within my outcome of interest?
What possible impact will this have on my logistic model, and what can I do about it? Thanks - Yawo
===================>
Table 1:
RECODE of |
V827 |
(Last |
test was |
on your |
own, |
offered | RECODE of V501 (Current
or | marital status)
required) | 0 1 2 Total
----------+---------------------------
Not Test | 99.37 81.1 99.08 88.75
| 514 1563 857 2934
|
Asked fo | .2992 1.015 .2525 .6992
| 2 18 2 22
|
Offered | .2523 17.63 .1184 10.24
| 3 427 1 431
|
Test Req | .0816 .253 .5512 .3114
| 1 5 2 8
|
Total | 100 100 100 100
| 520 2013 862 3395
--------------------------------------
Key: column percentages
number of observations
----------------------------------
Table 2:
RECODE of |
V827 |
(Last |
test was |
on your |
own, |
offered | RECODE of V106 (Highest
or | educational level)
required) | 0 1 2 Total
----------+---------------------------
Not Test | 83.34 96.84 89.9 88.75
| 724 273 1937 2934
|
Asked fo | .2094 1.662 .777 .6992
| 2 4 16 22
|
Offered | 16.37 1.497 8.887 10.24
| 209 3 219 431
|
Test Req | .0785 0 .4358 .3114
| 1 0 7 8
|
Total | 100 100 100 100
| 936 280 2179 3395
--------------------------------------
Key: column percentages
number of observations
|
|
0
|
|
|
|
Reply
|
Yawo1964 (17)
|
3/8/2009 7:49:59 PM |
|