A physician wants to know whether age at breast cancer diagnosis has significantly impact on breast cancer stage (high vs. low). He used the following SAS codes to categorized age at diagnosis to three sub-groups. The following logistic regression is to predict high tumor stage. Based on the following information, calculate the odds of high tumor stage for the three age groups (50).

if Age_at_pathological_diagnosis=.then age_dx_g3=.;

elseif Age_at_pathological_diagnosis45then age_dx_g3=1;

elseif Age_at_pathological_diagnosis50then age_dx_g3=2;

else age_dx_g3=3;

Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept -0.6391 0.2836 5.0793 0.0242 age dx 93 2 0.3337 0.4522 0.5446 0.4605 age dx 93 3 0.0412 0.3884 0.0113 0.9154