About ANKH1

ANKH1 · ‎08-13-2019

Hi, Thank you for your answer. We don't have negative values in that DV. I tried following the code you provided to show our data but I guess I couldn't figured out how since our data set is an imported excel file with approx 19900 rows and 80 columns. I tried the code with another DV to see if it could be another reason, but again it showed an error for one value. I checked for that DV and that one value seems to be again coming from only one value = 0.

ANKH1 · ‎08-13-2019

Hi, I tried the following: 74 proc transreg data = sample1; 75 model boxcox(DV)=class(CAT); 76 run; ERROR: 11 invalid values were encountered while attempting to transform variable DV. The 11 invalid values are from values=0. Moreover, when I write proc transreg data = sample1; model boxcox(DV/lambda=1)=class(IV); run; It shows exactly the same error.

ANKH1 · ‎08-13-2019

Thanks for your answer. I tried this and didn't work: proc transreg data = sample1; model boxcox(DV / lambda ^= 0) = identity(IV); run;

ANKH1 · ‎08-13-2019

What would be the procedure equivalent to proc transreg for ANOVAS (categorical IV's)? We are looking to use boxcox transformations on a continuous DV.

ANKH1 · ‎08-13-2019

Hello, How do you deal with a dependent variable that has some values equal to zero when using boxcox transformations in proc transreg? proc transreg data = sample1; model boxcox(DV)=identity(IV); run; ERROR: 11 invalid values were encountered while attempting to transform variable DV. Thank you

ANKH1 · ‎08-13-2019

It worked! Thank you very much.

ANKH1 · ‎08-13-2019

Thank you!

ANKH1 · ‎08-13-2019

Yes, it is Anova

ANKH1 · ‎08-12-2019

Hi, We are trying to test for normality on residuals of the dv when the iv is categorical. Proc reg does not run when iv is categorical. Here is the code: proc reg data=sample1; model dv= iv; output out = notrans r= resid; run; proc univariate data=notrans noprint; var resid; histogram resid/normal kernel; qqplot resid/normal (mu = est sigma=est); run;

ANKH1 · ‎05-07-2019

Thanks. Although a good read it doesn't address power calculation for crossover designs. Is there another article you recommend that addresses this calculation?

ANKH1 · ‎04-09-2019

Hello, We are designing a cross-over repeated measures design. Participants will have all 4 treatments at four different sessions days. During each session, samples will be collected over several time points for 2 hrs. There will be a washout period between sessions. Is there a SAS procedure for such calculation? Thank you!

ANKH1 · ‎04-09-2019

Thank you! The example is helpful.

ANKH1 · ‎04-08-2019

Hello, Thank you for your response. This is helpful. But I have two questions: 1) Is this proc necessary when there is a washout period? Meaning that a carry-over effect is null or minimized? 2) Is there a proc to calculate sample size? Thanks,

ANKH1 · ‎04-05-2019

Hello, We are designing a cross-over repeated measures design. Participants will have all 4 treatments at four different sessions. During each session, samples will be collected over several time points for 2 hrs. Is there a SAS procedure for such calculation? Thank you!

ANKH1 · ‎11-29-2018

Thank you very much for your response. To see if I had differences at BL, I ran an one-way anova but they were not statistically different. I should mention that this is a crossover design (so all subjects are exposed to all treatments). I just checked the raw data and it looks like one subject's BL when exposed at one particular treatment is higher compared to its other baselines (this only by looking at box plots). How should I approach this? Thanks again!

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