About UcheOkoro

UcheOkoro · ‎06-17-2021

Hello Reeza, Thank you for your prompt response. I use proc import below. I did specify my informat or did I do it wrong? Thank you again proc import datafile="R:\Research\x\data_new.csv" out=data_new2 DBMS=csv REPLACE; guessingrows=5000; run; informat sirs_date mmddyy10. ; informat triage_date mmddyy10. ; format triage_date mmddyy10. ; format sirs_date mmddyy10. ;

UcheOkoro · ‎06-17-2021

Hello, I am importing data from an excel csv file but noticed that out of 1279 observations, two dates are wrong. The excel file has the correct date but SAS has the wrong date. I don't know. Please, I need some help. Below are the SAS output and snip of excel sheet.

UcheOkoro · ‎05-20-2021

Hello Ballardw, Thank you for you response. The following is the log. I looked through my code but could not figure out what the problem is. 6266 6267 proc surveymeans data=Avera_matched_data q1 q3 median; 6268 class telemed_use; 6269 strata telemed_use; 6270 var Hospital_free_days4 ; 6271 domain _imputation_ ; 6272 ods output domain = outex1 ; 6273 run; WARNING: Output 'domain' was not created. Make sure that the output object name, label, or path is spelled correctly. Also, verify that the appropriate procedure options are used to produce the requested output object. For example, verify that the NOPRINT option is not used. NOTE: PROCEDURE SURVEYMEANS used (Total process time): real time 9.77 seconds cpu time 0.26 seconds

UcheOkoro · ‎05-20-2021

Hello, Please, I need help calculating the weighted median and confidence interval of for hospital_free_days by telemed_use across 5 imputations. The proc surveymeans is ignoring the class statement and also refusing to create the ods output domain = outex1 ; Please, I also need help with the right Proc MI analyze code. I am using the following SAS code. Thank you. proc surveymeans data=Avera_matched_data q1 q3 median; class telemed_use; strata telemed_use; var Hospital_free_days4 ; domain _imputation_ ; ods output domain = outex1 ; run; proc mianalyze data=outex1; by Hospital_free_days4 telemed_use;*this would be the TABLES variable; modeleffects median; run;

UcheOkoro · ‎05-14-2021

I discovered that the data was deleted due to an exclusion criteria, I applied to the data set.

UcheOkoro · ‎05-14-2021

Thank you so much, Rick_SAS. This was very helpful!

UcheOkoro · ‎05-12-2021

Thank you so much for your response. I would like to compare the following two non-nested models. I do not want simulate a data set. Please, what is the best way to do this? /****MODEL WITH SEPSIS, SURGERY AND ED_DISPO*****/ PROC LOGISTIC DATA=Averasepsis_data10C3b OUTEST=_LNLIKE4_ DESC; CLASS triage_pulse2(ref='<96') Lactate1_cat(ref='<2') mode_arrival(ref='private tranp') bmi2(ref='<18.5') total_sofa1_ed2(ref='<4') pmh_copd(ref='No') pmh_cirrhosis(ref='No') pmh_transplant(ref='No') pmh_cancer(ref='No') Age2(ref='<30') pmh_diabetes(ref='No') pmh_dialysis(ref='No') infection_ed_source3(ref='resp_pnuem') sex2(ref='Male') RUCA2(ref='Two') ed_provider_type2(ref='Physician') ICU_yn(ref='No') sepsis_septic_diag(ref='No') sepsis_septic_diag(ref='No')ed_dispo(ref='Admit') surgery(ref='No'); MODEL telemed_use (Event='Yes') = triage_pulse2 Lactate1_cat triage_systolic mode_arrival delta_SOFA bmi2 citypop_2019 EDVolume_2019 totalbeds transferdist sex2 RUCA2 ed_provider_type2 ICU_yn sepsis_septic_diag ed_dispo surgery/lackfit rsquare; RUN; /****MODEL WITH SEPSIS and SURGERY*****/ PROC LOGISTIC DATA=Averasepsis_data10C3b OUTEST=_LNLIKE5_ DESC; CLASS triage_pulse2(ref='<96') Lactate1_cat(ref='<2') mode_arrival(ref='private tranp') bmi2(ref='<18.5') total_sofa1_ed2(ref='<4') pmh_copd(ref='No') pmh_cirrhosis(ref='No') pmh_transplant(ref='No') pmh_cancer(ref='No') Age2(ref='<30') pmh_diabetes(ref='No') pmh_dialysis(ref='No') infection_ed_source3(ref='resp_pnuem') sex2(ref='Male') RUCA2(ref='Two') ed_provider_type2(ref='Physician') ICU_yn(ref='No') sepsis_septic_diag(ref='No') sepsis_septic_diag(ref='No') surgery(ref='No'); MODEL telemed_use (Event='Yes') = triage_pulse2 Lactate1_cat triage_systolic mode_arrival delta_SOFA bmi2 citypop_2019 EDVolume_2019 totalbeds transferdist sex2 RUCA2 ed_provider_type2 ICU_yn sepsis_septic_diag surgery/lackfit rsquare; RUN;

UcheOkoro · ‎05-10-2021

Hello, Please, I need to compare two non nested models. Please, I need help with SAS code for Monte Carlo simulation in structural equation modeling to do this comparison. Thank you

UcheOkoro · ‎05-07-2021

Never mind. I figured it out. Please, how do I delete this question?

UcheOkoro · ‎05-07-2021

I imported a dataset into SAS from excel and noticed that the an entire numeric and datetime variables are showing as missing in SAS. Please, I need some help with this. Thank you.

UcheOkoro · ‎04-27-2021

Please, I have another related question. I am using the proc surveymeans and I would like to include a within stratum median analysis statement proc surveymeans data=Avera_matched_data_all q1 q3 median; stratum telemed_use/list; var age ; by _imputation_; run; I would like something to similar to the following

UcheOkoro · ‎04-27-2021

Thank you so much! It worked.

UcheOkoro · ‎04-26-2021

So for this output it is -6.1354/2? How do I interprete this? [cid:image001.png@01D73AC1.0F9E7120]

UcheOkoro · ‎04-26-2021

Thank you for your response. I am looking for the standardized difference. A non parametric equivalent of the Cohen's d.

UcheOkoro · ‎04-26-2021

Please, I need help with SAS code to calculate effect size for wilcoxon test. Thank you.

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