다가오는 6월, 데이터와 인사이트의 축제 SAS Innovate on Tour SEOUL이 여러분을 찾아갑니다! 오후에는 실습 중심의 SAS School 세션도 함께 진행될 예정이니, 배움의 열정과 호기심을 가득 안고 참여해 보세요!   SAS Innovate 참가 신청은 아래 링크에서 바로 가능하며, SAS School 세션 신청은 제게 이메일로 보내주시면 됩니다 😊   많은 관심과 참여 부탁드립니다. 감사합니다.    -------------------------------------------------   📢 SAS Innovate on Tour Seoul에 여러분을 초대합니다! 📅 2025년 6월 10일 📍 여의도 페어몬트 앰배서더 서울 데이터와 AI의 무한한 가능성, 그리고 실질적인 비즈니스 인사이트를 단 하루에 경험할 수 있는 기회! SAS의 전문가들과 함께 최신 기술 트렌드를 확인하고, 산업별 고객 사례와 핸즈온 세션을 통해 데이터 분석 역량을 키워보세요. - SAS Innovate 등록 링크 https://www.sas.com/sas/events/innovate-on-tour/25/seoul.html?utm_source=other&utm_campaign=non-non-ap     - SAS School Hands-On Session     ... View more

  proc logistic data = test; class predictor (ref = "1"); model outcome (event = "1") = predictor; run; RESULTS: Question 1: Why are my odds ratios different from exp(estimate)? For example, when predictor = "0", coefficient = 0.5660, and using OR = exp(estimate), exp(0.5660) = 1.76 but the calculated odds ratio estimate is 2.226. Question 2: The coefficient for predictor = "2" is significant, but a value of OR = 1 spans the 95% Wald confidence interval. If this coefficient is significant, shouldn't 1 not be in the CI? ... View more

Hello All,   I ran a linear mixed model (LMM) with country (55 countries) included as a random intercept. The random intercept for country was statistically significant, and the model fit improved significantly, evidenced by a lower -2 Log Likelihood—compared to the model without country as a random effect.   proc MIXED data=tmp method=ML covtest; class country; model dependent_var =var1 var2 ..../s ddfm=kr ; random intercept /subject=country; run;   The concern is that 22 countries have only one respondent and 8 countries have 2 respondents (below is the frequency), I was thinking to say: Even though the model with country as a random intercept looks better fit, but I will go with simple linear regression not mixed model due to sparse data/unstable estimate. Or would it be better to run the GEE model with an independent correlation structure?   proc genmod data=tmp; class country ; model ave_score =var1 var2 .... / dist=normal link=id type3; repeated subject=country/ type=ind; run; country Frequency country_1 1 country_2 1 country_3 1 country_4 24 country_5 1 country_6 2 country_7 1 country_8 5 country_9 22 country_10 2 country_11 1 country_12 1 country_13 20 country_14 12 country_15 1 country_16 1 country_17 1 country_18 1 country_19 1 country_20 2 country_21 2 country_22 1 country_23 2 country_24 1 country_25 6 country_26 1 country_27 3 country_28 4 country_29 32 country_30 5 country_31 1 country_32 6 country_33 15 country_34 10 country_35 1 country_36 1 country_37 18 country_38 2 country_39 3 country_40 2 country_41 1 country_42 3 country_43 6 country_44 8 country_45 1 country_46 2 country_47 2 country_48 7 country_49 6 country_50 18 country_51 5 country_52 1 country_53 1 country_54 9 country_55 3 total 290   I would appreciate your help in choosing the best approach, Thanks so much! ... View more

Hey, folks-   I'm trying to build a simple pipeline for ensembling logistic regression using the SAS Viya Studio's "Build Model" feature and I get these errors: "This project could not be initialized"  and "The data advisor failed to run on the selected data source."    Here's a sample of the log file:    NOTE: Added action set 'cardinality'. ERROR: Could not load the format YESNO_ALT of the variable ewe. ERROR: Generic error. ERROR: Action summarize failed. ERROR: The action stopped due to errors. NOTE: PROCEDURE CARDINALITY used (Total process time): real time 0.17 seconds cpu time 0.01 seconds NOTE: The table DMDSLIB.STATISTICS does not exist in Cloud Analytic Services. ERROR: File DMDSLIB.STATISTICS.DATA does not exist. NOTE: The SAS System stopped processing this step because of errors. NOTE: Due to ERROR(s) above, SAS set option OBS=0, enabling syntax check mode. This prevents execution of subsequent data modification statements. WARNING: The data set WORK.STATISTICS may be incomplete. When this step was stopped there were 0 observations and 0 variables. NOTE: DATA statement used (Total process time): real time 0.02 seconds cpu time 0.01 seconds ERROR: Variable _VARNAME_ not found. NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE SORT used (Total process time): real time 0.00 seconds cpu time 0.00 seconds ERROR: Variable _VARNAME_ is not on file WORK.STATISTICS. ERROR: Variable _ORDER_ is not on file WORK.STATISTICS. ERROR: Variable _CARDINALITY_ is not on file WORK.STATISTICS. ERROR: Variable _SUMFREQS_ is not on file WORK.STATISTICS. ERROR: Variable _NMISS_ is not on file WORK.STATISTICS. ERROR: Variable _MIN_ is not on file WORK.STATISTICS. ERROR: Variable _MAX_ is not on file WORK.STATISTICS. ERROR: Variable _STDDEV_ is not on file WORK.STATISTICS. ERROR: Variable _MEAN_ is not on file WORK.STATISTICS. ERROR: Variable _NOBS_ is not on file WORK.STATISTICS. ERROR: Variable _SKEWNESS_ is not on file WORK.STATISTICS. ERROR: Variable _KURTOSIS_ is not on file WORK.STATISTICS. I'm attaching the full log file. My computer is a PC, 64-bit, running Windows Enterprise 10 and SAS Viya is "Data Explorer" release 2.5, SAS Viya release V.03.05.    How can I get the SAS Viya to initialize the project? I'm at my wit's end with SAS Viya. It looks like a really powerful tool for ML, but I've found that even basic things like reading in data are hard to figure out and time-consuming.    Thanks, David   ... View more