P-value for trend in multivariate analyses?

[rogersaj]

I am running an analysis with a continuous outcome and a dichotomous outcome. Here's an outline of my table:

I was able to get a p-value for trend in both the bivariate analyses (using PROC GLM> estimate; and PROC FREQ> trend)

Now I need to determine if it is even possible to get p-value for trend in multivariate analyses. Theoretically, does that work? Here is my code:

**For continuous variable;
proc glm data = ....;
	class hivpos3 (ref = '0') marital3 (ref = '1') lmpyear (ref = '2011') agecat4 (ref = 'Aged 15 or less') distcat (ref = 'Distance less than or equal to 5 km');
 	model p1v1_gest = hivpos3 marital3 lmpyear agecat4 distcat /solution;
	estimate "Linear trend for lmpyear" lmpyear -1 0 1; 
	estimate "Linear trend for agecat4" agecat4 -0.564165  -0.298675  0.0995585  0.7632818; 
	estimate "Linear trend for distcat" distcat -0.447043  -0.305405  -0.084097  0.8365453; 
run; quit;

 **For dichotmous variable;
proc logistic data = ....;
class hivpos3 (ref = '0') marital3 (ref = '1') lmpyear (ref = '2011') agecat4 (ref = 'Aged 15 or less') distcat (ref = 'Distance less than or equal to 5 km')/param=ref;
model returnee = hivpos3 marital3 lmpyear agecat4 distcat / link=logit stb;
run; quit;

For the continuous variable, I don't know if my "estimate" requests are valid.

For the dichotmous variable, this guidance says that "In PROC LOGISTIC, the score test in the Testing Global Null Hypothesis: BETA=0 table is equivalent to the Cochran-Armitage test" so I am only getting one p-value. Is that the way it should be - just one global p-value?

Thanks!

[pau13rown]

i think you need to explain it better, i don't understand your table at all. It seems you're misusing the terms bivariate and multivariate