About wajmsu

wajmsu · ‎07-22-2016

Hi, I am analysing my data using conditional logstic regression. As a first step, I do unadjusted/univariable analysis and next multivariable model building. Can I get absolute numbers for two groups with my coeficients/OR? Can I get these numbers for both analyses, uni- and multi-; how can I get it? Thanks

wajmsu · ‎07-08-2016

Hi, Do we have to use proc format statement everytime? If I do not use the statement but I have value labels with me (out of the dataset) and I can work while I put vlaues in MSword tables, is that ok? Thanks

wajmsu · ‎07-08-2016

Hi, When multivariable analysis is carried out, multiple variables may utilize class statement at the same time but all would have different categories as reference. How would we use them? Below is a code, please guide me is this correct? proc logistic data=pe.matchedata_21; strata group; class birthsea (ref='1') CMV_ca_2_1 (ref='2') sex (ref='1'); model PEstatus (event='1')= birthsea CMV_ca_2_1 sex; run; Thanks

wajmsu · ‎07-07-2016

Thanks PGStats and Reeza! I wanted an expert endorsement to my understanding which I got. Just to reconfirm, this is true even for a binary variable to use the class statement with explicit reference indication. Regards

wajmsu · ‎07-07-2016

Hi Ray, Thanks for the response. Below are three different codes and I need guidance: Which code is correct to use, as the third one does not have class statement in it? according to my understanding, the third code should use last categoryof CMV_ca_2_1 (category 2) as reference; but the output of this code is the same as that of the output no.2 where I defined reference as 1 (which is not last category). proc logistic data=pe.matchedata_21; strata group; class CMV_ca_2_1 (ref='2'); model PEstatus (event='1')= CMV_ca_2_1; run; proc logistic data=pe.matchedata_21; strata group; class CMV_ca_2_1 (ref='1'); model PEstatus (event='1')= CMV_ca_2_1; run; proc logistic data=pe.matchedata_21; strata group; model PEstatus (event='1')= CMV_ca_2_1; run; Thanks

wajmsu · ‎07-07-2016

Hi, When can we use class statement? If I have a binary variable and using Proc Logistic, should I use class statement for that variable? Thanks

wajmsu · ‎06-08-2016

Hi, How can I get SAS 9.4 output into MS Word and MS Excel? Thanks

wajmsu · ‎06-01-2016

Hi PGStat, I understand the code will keep thosr rows which do not have missing values. In that scenario, my all cases have first column with missing value. I am afraid it will delete that caso also and this way my all cases would be lost. Please guide me. Thanks

wajmsu · ‎06-01-2016

Hi Ksharp, Please confirm 10 represents the number of variables in the parentheses. thanks

wajmsu · ‎05-30-2016

Hi, Below is a table with matched dataset (cases and controls). Out of the five cases, first four cases have a duplicate case with missing values for all variables. How can I delete these row? Thanks Group Type Control Id id age edu race parity wt ht opwo fev 1 Case . . . . . . . . . . 1 Case . 5 32 9 1 0 90 5.2 1 1 1 Control 1 70 32 9 1 0 90 5.2 1 0 1 Control 2 99 35 10 1 0 90 5.2 0 0 2 Case . . . . . . . . . . 2 Case . 12 35 12 1 2 110 5 0 1 2 Control 1 43 35 12 1 1 110 5 0 0 2 Control 2 101 33 11 1 2 110 5 0 0 3 Case . . . . . . . . . . 3 Case . 22 25 14 3 0 110 5.4 0 1 3 Control 1 125 25 13 3 0 110 5.4 0 0 3 Control 2 51 28 12 3 0 110 5.4 0 0 4 Case . . . . . . . . . . 4 Case . 29 27 12 2 1 95 5 1 1 4 Control 1 32 29 12 2 2 125 6.2 1 0 4 Control 2 31 27 10 2 1 95 5.5 0 0 5 Case . 40 28 10 3 2 130 6 1 1 5 Control 1 58 28 10 3 2 130 6 0 0 5 Control 2 93 27 11 3 2 130 6 1 0

wajmsu · ‎05-29-2016

Hi, I am using a matched dataset to carry out conditional logistic regression. Not all matched case-control sets are the same; some cases have 1 control the other may have 2 or 3. Would the analysis be different from if I had similar number of controls for all cases? If yes, how should I address this issue? Thanks

wajmsu · ‎05-13-2016

Hi Ksharp, What code should I use for count (with percents) for parity, race, opwo and for mean (with std deviation) for wt ht acros fev (1 and 0)? Thanks.

wajmsu · ‎05-13-2016

Thanks, it did work; will explore further. However, I can't take age edu race and parity in the model as they are matching variable and their effect has already been fixed.

wajmsu · ‎05-13-2016

Sure. Unadjusted means univatiate analysis (one variable assessed for the outcome, here fev) Adjusted means multipvariate, when more than one independent variables are added to the model simultaneously where these variables adjust the effect/association of each other on the response variable. My matching variables are: age, edu, race and parity. I think, not sure, these can be taken as 'strata'. Thanks

wajmsu · ‎05-12-2016

Thanks; I want to have counts with percents and mean with standard deviations and range.

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