Two way anova for clinical trial in SAS

Barkamih — Sat, 24 Nov 2018 18:57:44 GMT

Dear All,

I have clinical trial data, where I have control and treatment variables. The treatment variables have three readings for each.

How can I conduct this analysis and how to import this data properly.

Example of my data: TD is control. TN and PW are treatments.

I want to test TD against TN and PW:

TD TN PW

24H 20.3 21.2 20.6 30.1 31 32 40 40.1 42

48H 19.5 20 21 18 18.1 18.3 40 41 42

Thanks,

Re: Two way anova for clinical trial in SAS

StatsMan — Mon, 26 Nov 2018 20:46:22 GMT

You can use a DATA Step to read in your data. With the small amount of data, using a DATA Step will be the quickest way to get your data into a SAS data set. Try something like

data test;
input trt $ y;
datalines;
TD 1.6
TN 2.4
;
run;

You will need 1 line for each observation, so just keep adding lines below the datalines; command and above the semicolon and run; lines. Once you have the data typed in, submit that code and then

proc print data=test;
run;

to make sure the data is in the data set correctly.

Once your data is in a SAS data set, you can use PROC GLM to analyze your experiment. Something like

proc glm data=test;

class trt;

model y=trt;

lsmeans trt / adjust=dunnett pdiff=control('TD');

run;

quit;

should do it. The LSMEANS statement says to compare each of the treatment levels of the variable TRT to the control level (as specified through the PDIFF= sub-option).

You can find documentation on PROC GLM here:

GLM Documentation

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Two way anova for clinical trial in SAS

Re: Two way anova for clinical trial in SAS