I used the following code: proc mi data=red.sleeve1  nimpute=0  ;    mcmc chain=multiple displayinit initial=em(itprint);    var BMI_1_year       BMI_6_mon      Post_op_BMI_4_weeks     Pre_op_BMI ; run;   The sas output i got is attached. How do i interpret this. Thanks. ... View more

How do i know if the missing pattern is monotone or arbitrary? I looked into the examples provided in document but it is not clear. Thanks. ... View more

Thank you very much for the reply. I will go through the paper. ... View more

I am not able to attach my dataset. sorry. It says "The contents of the attachment doesn't match its file type." ... View more

  Thank you for the reply. I have coded job exposure as 1 vs 0. Below I have posted codes for two of my job exposures: cook and painter. I have modeled 20 more jobs similarly. And for all the job exposures the 0 or reference is same group of people( people who were never exposed to all of the job of interest.   proc logistic data=red.merged; class studyname ageq(ref="<40") sex(ref="Female") Education_levelmi1(ref="No education") race region drink_dayq(ref="0 (Non-drinkers)") tobaccoyearq(ref="0 (Never smoker)") cook(ref="0")/param=reference; model oropharynx= studyname ageq sex Education_levelmi1 race region drink_dayq tobaccoyearq cook/ scale=none aggregate; run;   proc logistic data=red.merged3; class studyname ageq(ref="<40") sex(ref="Female") Education_levelmi1(ref="No education") race region drink_dayq(ref="0 (Non-drinkers)") tobaccoyearq(ref="0 (Never smoker)") painter(ref="0")/param=reference; model hypopharynx= studyname ageq sex Education_levelmi1 race region drink_dayq tobaccoyearq painter/ scale=none aggregate; run; ... View more