Hi experts,   I need to deploy SAS Viya on-prem on OpenShift with no Internet access at all (dark site) using the SAS Deployment Operator. Looking at https://documentation.sas.com/doc/en/sasadmincdc/v_056/dplyml0phy0dkr/p0nid9gu3x2cvln1pzpcxa68tpom.htm#p012wq5dhcqbx8n12abyqe25m4nu at the --repository-warehouse parameter and I see it is required for a dark site deployment but no further info is available.   I am in contact with SAS Technical Support but I wonder if there is anyone out there who actually managed to install SAS Viya with this configuration and can share their input about this --repository-warehouse parameter and how they used it.   Thanks. ... View more

Dear all,   I am trying to run a target trial emulation comparing drug A to drug B using the clone censor weight approach. each individual is cloned twice and assigned to either drug A or drug B. they are censored if they deviate from their assigned strategy. grace period to start either drug is 6 months from date of diagnosis (time 0). individuals are followed up for up to 2 years after date of diagnosis. the dataset is structured so that each row represents one month.   i am stuck on the inverse probability of censoring weight step. I am finding the two groups are not balanced at month=12 (exposure_final=0 -> drug B, exposure_final=1 -> drug A) with SMD >0.1. Could someone advise if there is an error in my SAS coding?  *denominator model;   proc genmod data=example descending; by exposure_final; class month (ref=”6”); model censor = covariate1 covariate2 covariate3 covariate4 covariate5 / dist=binomial link=logit; output out=censor_den p=den; run;   *numerator model;   proc genmod data=censor_den descending; by exposure_final; class month (ref=”6”); model censor = month / dist=binomial link=logit; output out=censor_num p=num; run;   proc sort data=censor_num; by id;  run;   data example_final; set censor_num; retain n d; by id; if first.id then do; n=1; d=1; end;   n=num*n; d=den*d; wt=n/d; run; ... View more

Hi, I am trying to crawl a large number of tables. The job has been running for several hours. How can I stop it? Kind regards,   Klaus   ... View more

Dear SAS Community,   Looking at the this graph, I would like to know if the percentage of PeelColor 3 (red)  is significantly different between the Variety BL516 and Hass for the Season 2021. PeelColor is the dep categorical variable (ordinal) with more than 2 levels.   If I am correct, with an lsmestimate statement I should be able to answer that, so this is the code I am using. However I would like to know how to specify the level of the dep var (PeelColor=3) for this comparison.    proc logistic data=one desc; where Season=2021; class Variety/param=glm; model PeelColor= Variety/ link=clogit/*y is ordinal*/ ; lsmeans Variety/diff; lsmestimate Variety 'BL516 vs Hass' 0 0 0 0 0 1 0 0 0 0 -1/adjust=simulate(seed=1); run;   I would greatly appreciate your help!   Thanks ... View more