Randomization Scheme

Mon, 27 Jul 2020 17:34:05 GMT

I am looking for coding recommendations or references for creating a randomization scheme for a trial. There will be two treatment arms and two groups to stratify subjects on. In particular, I am looking to balance two binary covariates between the arms. So there will be 4 groups of subjects to be randomly assign to a treatment arm, see following groups (diabetic and age):

-Diabetic and < 50 years old;

-Diabetic and >/= 50 years old;

-Non-Diabetic and < 50 years old; and

-Non-Diabetic and >/= 50 years old.

I have created simple randomized schemes and block schemes before. It seems like I could create four block schemes to address this scenario, correct?

Also, I was curios if anyone had some code to create a block randomization scheme with varying block sizes within the scheme (e.g., varies between blocks of 4 and 6)?

Thank you for your time and help!

Re: Randomization Scheme

SteveDenham — Tue, 28 Jul 2020 12:07:47 GMT

Look into PROC PLAN. It has a variety of randomization schemes for blocked designs.

SteveDenham

Re: Randomization Scheme

cminard — Thu, 30 Jul 2020 17:48:09 GMT

/*
Permuted Block Randomization Schedule

This randomization assumes an equal number of subjects per treatment arm.

Provide block sizes, number of treatment arms, and total sample size.
Each block size should be a multiple of the number of treatment arms.
For example, a block size of 3 with only 2 treatment arms is not allowed.

Block sizes >10 are not recommended due to processing time required.
*/
%let blocks=2 4 6 8;
%let ngroups=2;
%let samplesize=100;

/*
Specify an integer value for seed if you want to be able to reproduce the schedule.
Otherwise, let seed=0
*/
%let seed = 0;

%macro m1 ();
%global list;

%let list = ;
%do j = 1 %to &blocksize/&ngroups;
%do i = 0 %to &ngroups-1;
%let list = &list &i;
%end;
%end;
%mend m1;

%macro SelectBlockSize();
%global blocksize;

proc datasets; delete allblocks; run; quit;

%let counter=1;
%let current=%scan(&blocks,&counter);
%do %until (&current=);
data blocks;
blocksize=1*&current;
rand=ranuni(&seed);
output;
run;
proc append data=blocks base=allblocks; run;

%let counter=%eval(&counter+1);
%let current=%scan(&blocks,&counter);
%end;

proc sort data=allblocks; by rand; run;
data _null_;
set allblocks;
blockcheck=mod(blocksize,&ngroups);
if blockcheck ne 0 then call symputx ('blockcheck',blocksize);
else %let blockcheck='';
call symputx ('blocksize',blocksize);
run;

%if &blockcheck ne '' %then %do;
%put ;
%put ERROR: Invalid block size for number of groups.;
%put ***********************************************;
%put Block size = &blockcheck;
%put Number of groups = &ngroups;
%put ***********************************************;
%put ;
%abort;
%end;
%mend SelectBlockSize;

%macro m2 ();
proc datasets; delete assignment; run;

%selectblocksize;
%m1;
%let n = &blocksize;
%let stop=0;

%do %until (&stop=1);
%if (&n>&samplesize) %then %let stop=1;
data test;
array x {&blocksize} (&list);
nfact=fact(dim(x));
do i = 1 to nfact;
seq=allperm(i, of x[*]);
if &seed=0 then rand=ranuni(&seed);
else rand=ranuni(1+&seed);
output;
end;
run;

proc sort data=test; by rand; run;
data test2 (keep = treat blocksize);
set test (obs=1 keep=x1-x&blocksize);
array x {&blocksize} x1-x&blocksize;
do i = 1 to &blocksize;
treat=x[i];
blocksize=1*&blocksize;
output;
end;
run;

proc append base=assignment data=test2; run;

%selectblocksize;
%m1;
%let n = %eval(&n+&blocksize);
%end;

data assignment;
set assignment;
PatientID+1;
run;

proc print data=assignment noobs;
var PatientID treat;
where patientid<=&samplesize;
run;
%mend m2;
%m2;

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