Programming the statistical procedures from SAS

odds ratio(<0.001)

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New Contributor yj
New Contributor
Posts: 2

odds ratio(<0.001)

[ Edited ]

i have run a surveylogistic model and i got the point estimates:<0.001 , 95% Wald Confidence Limits:<0.001 <0.001.

except small sample size is there a another reason(mean)?

and can i use the result?

thank u

Super User
Posts: 10,816

Re: odds ratio(<0.001)

Please show the actual results and which procedure you were using. I don't think you actually had a confidence limit expressed as <0.001.

 

Generally the most common place I see SAS results like <0.0001 are associated with p-values. Which would mean that the for any practical test the result is statistically significant.

 

Without knowing exactly what your were doing it is hard to make a suggestion about "can I use the result" or not.

 

 

New Contributor yj
New Contributor
Posts: 2

Re: odds ratio(<0.001)

[ Edited ]

proc surveylogistic data=hn NOMCAR; strata kstrata; cluster psu; weight wt;   
domain subg; class sccatt(param=ref ref='1') sex(param=ref ref='1') obe_g(param=ref ref='1') sm_g(param=ref ref='1') alccat(param=ref ref='1') mas(param=ref ref='1') incm_g(param=ref ref='1') educ_g(param=ref ref='1') pmetcat(param=ref ref='1') dept(param=ref ref='1') hs(param=ref ref='1') urban(param=ref ref='1') sleepdur(param=ref ref='1');
model dp(event="1")=sccatt age sex obe_g sm_g alccat mas incm_g educ_g pmetcat dept fq_en hs urban sleepdur/rsq vadjust=none CLPARM;
run;

 

thank u!


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SAS Super FREQ
Posts: 3,537

Re: odds ratio(<0.001)

[ Edited ]

Just as SAS uses a special PVALUE format for p-values, there is a format for odds ratios to handle the case when one of the odds is almost  zero or infinity.  An odds ratio is computed as a fraction. A value that displays as <0.001 means that either the numerator is tiny or the denominator is huge.

 

Similalry, you might see >9999 if the numerator is huge or the denominator is tiny.

 

If you ever see a 95% expressed as (<0.001, >9999) then the analysis is telling you almost nothing. The true value of the parameter could be anywhere.

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