Hi all,   Please help me with the following model: (DRUG:aspirin, paracetamol,ibuprofen CHANGE:increased, decreased, unchanged AGE:continous variable BASE_VALUE:Continous variable NO_INJECT:continous COVARIATE:0,1)   proc logistic data=new descending; CLASS drug(Ref='Aspirin') / Param=REF; MODEL change= Age base_value No_inject drug Age*drug covariate/expb; run;   When I used the above code, I didnot get ODDS Ratio for variables in Interaction, so I used   ods graphics on; proc logistic data=PrepAMDONLY21 plots(only)=(oddsratio(range=clip))descending; class Txtype /param=ref; model Change_VA1YR_Outcome = Age drug Base_value No_inject Age*drug covariate; oddsratio drug; oddsratio Age; oddsratio Base_value; oddsratio No_inject; oddsratio Covariate; contrast 'Pairwise Paracetamol vs Aspirin' drug 1 0 / estimate=exp; contrast 'Pairwise Ibuprofen vs Aspirin' drug 0 1 / estimate=exp; contrast 'Pairwise Paracetamol vs Ibuprofen ' drug 1 -1 / estimate=exp; run; ods graphics off;   Please let me know if this is correct!? Attached is the interpretation. Please help me out with the intrepretation if the model is correct.   Thansk in Advance, Yra ... View more

Hi all,    I am new to Statistics.  Please help. Can I check for interaction between a categorical variable and a continous variable. For example, age-continous (1-100) and treatment-categorical(1, 2, 3)?   Thanks in advance, Yra! ... View more