I have got the SAS re-installed in my personal laptop. Earlier when I used to open a new file whether it is a SAS data file or a SAS code, they used to open in separate windows. However, now when I open any kind of SAS files, all the files get clubbed under one window and within the process flow as shown in the attached screenshot. This makes it quite difficult to see these different files separately or at the same time. Could anyone please help me resolve this issue? Thanks
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proc surveyreg data=XXX varmethod=brr(fay); model score_m=ESCS ST004D01T IMMIG ; weight w_fstuwt; repweights w_fsturwt; run; I have used the PROC SURVEYREG in SAS with the BRR (Fay) method for my analysis of the PISA 2022 survey data. I am now uncertain whether it estimates using OLS or GLS. In my thesis, I have stated that the estimation is conducted using the OLS estimator. I am concerned that this might be incorrect. Could anyone clarify whether the estimation method is indeed OLS or if it is GLS? xx
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Hi: I am working on a study. It has been planned to do multiple imputation for missing values related to the primary endpoint by an agency's requirements. I have read many materials online and have some ideas. But, I am still not sure. Study information: The study's indication is Epilepsy. Each patient is given a diary and they are supposed to record how many seizures they expeirenced each day during the study period (DB period is ~ 85 days). As you can image, some patients may forget to record their seizures on some days and some patients may discontinue from the study before the Day 85. So there are missing values for seizure counts on some days for some subjects. My questions: 1. Our missing type is considered as 'missing as random' and so this procedure(Proc MI) can be used, correct? 2. Since our missing data is only in one variable, i.e., seizure count, so I think I should NOT use the methods in SAS documentation (Imputation Methods, Table 5) with 'monotone', correct? 3. Since our data is 'seizure count', which should follow poission distribution (correct?), not normal, I should NOT use methods with 'MCMC' since MCMC method is based on the assumption of multivariate normal distribution (MVN) for variables, correct? 4. Then I thought I should use FCS, fcs reg, or fcs regpmm. I read SAS documentation, it has "The predictive mean matching method ensures that imputed values are plausible; it might be more appropriate than the regression method if the normality assumption is violated (Horton and Lipsitz 2001, p. 246)." So I thought I should use 'fcs regpmm'. I also tried 'fcs reg', the imputed values gives non-integer, a number with decimal. It seems it does not fit my case. Our seizure is an count; so it should be an interger. If I use 'fcs regpmm', the imputed values are integers. 5. If using 'fcs regpmm' is correct for my case, what number of 'k' (SAS option with 'fcs regpmm' option) should I pick? Here is the code I use. proc mi data = post nimpute = 25 out = post_mi seed = 54321 noprint; by subjid; var qsdy count;' fcs regpmm (/k = 5); run; Note: 'qsdy' is the study Day variable; it is from Day 1 till Day 85. 'count' is seizure count for each day. There are missings in this variable. Note: since the imputation is by subjid, so covariates such as age, treatment, etc, are not needed (no change for an individual), correct? If any detailed information is needed for this discussion, please ask me. Thanks a lot in advance. Xiaoshu
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I'm trying to follow the code on this site Test for the equality of two proportions in SAS - The DO Loop for the section called A chi-square test for association in SAS. I basically need to compare the proportion in one area which was tested for something to the proportion in another area which was tested and see if they are significantly different proportions, but I can't get the code to work right. I get this error:
NOTE: Invalid data for N in line 79 1-6.
RULE: ----+----1----+----2----+----3----+----4----+----5----+----6----+----7----+----8----+----9----+----0
79 CountyB Yes 71
Group=CountyA Seq=No N=. _ERROR_=1 _N_=2
NOTE: SAS went to a new line when INPUT statement reached past the end of a line.
My full code is:
data underfive; length Group $15 Test $3; input Group Test N; datalines; CountyA Yes 55 CountyA No 45027 CountyB Yes 71 CountyB No 311726;
Once I had that in I figured I would run this:
proc freq data=underfive order=data; weight N; tables Group*Test/chisq; run;
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Hi all,
I am trying to use SAS to append a dataset into a SQL table.
I am using this code (modified the table names). My dates are in YYDDMM10. format, numeric = type, length = 8, informat =10. and they cannot be appended because of type of mismatch. The variables in the SQL table is set to the data type = "date" and it has allow nulls checked off.
any help is appreciated!! >.<
libname Dummy odbc dsn='Dummy_data' schema=stg;
data org.procedures;
set procedures;
RunDate = today();
format RunDate date9.;
if firstobs then Obs_ID = 1;
else Obs_ID +1;
run;
*remove exisiting data from table;
data Dummy.data_Numerators;
modify Dummy.data_Numerators;
if Obs_ID not = '.0y' then
remove Dummy.data_Numerators;
run;
*append new data to table;
proc append data= org.procedures base = Dummy.data_Numerators force; run;
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