...in relation to continuous enrollment in a RCT where I want to balance 3 groups based on several covariates. I am currently considering using SAS and the Frane (1998) method but as I understand it, this doesn't entirely eliminate selection bias. If anyone has any experience with this, help would be much appreciated.
In small to moderate size clinical trials, it is possible for simple randomization to result in an imbalance of prognostic factors among treatment groups. This imbalance could potentially influence the outcome of the trial. Baseline adaptive randomization improves the chance of having balance among treatment groups with respect to known prognostic factors.
Try SAS program that is a modification of a baseline adaptive randomization procedure proposed by Frane (1998). The procedure is modified to allow for unequal allocation ratios among multiple treatment groups for categorical covariates. This program was developed with version 6.12 of SAS on a VMS computer.
Attaching a link to this article as well as for further reads.
Good luck
Regards
http://www2.sas.com/proceedings/sugi26/p242-26.pdf
http://support.sas.com/resources/papers/proceedings13/181-2013.pdf
https://www.jmir.org/2013/7/e139/
Thank you for taking the time to answer this Sudeep, I'll take a look at those links. I also found this, which may be useful to anyone who reads this Q&A in the future:
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0110761
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