Dear all,

any (!) software used in regulated environments has to be validated. Regrettably is is a misconception by many working in the pharmaceutical industry that only studies evaluated by SAS are accepted by the FDA. See this one-pager https://www.fda.gov/media/109552/download and a presentation by the FDA's Paul Schuette at the useR! 2016 (https://channel9.msdn.com/Events/useR-international-R-User-conference/useR2016/Using-R-in-a-regulatory-environment-FDA-experiences).
Note that the FDA itself uses R in modeling & simulation.

Contrary to proprietary (off-the-shelf, commercial, you name it) software – where only a black box validation (aka, rubbish in, rubbish out) is possible – open source SW allows – in principle – a white box validation is possible.

Relying on proprietary SW is not necessarily a good idea ("We payed a lot, hence, it will work.") Stephen Senn once told me (given, a good while ago) that after an update of SAS, the Welch-test for unequal group sizes / variances collapsed into the simple t-test. He called up SAS and got the coder on the line. He inspected the source and after a couple of minutes replied "Hey, you are right. We screwed up." It took SAS half a year to roll out a corrective patch. What about clinicial studies evaluated in the meantime?

We published a couple of papers in a specific field comparing software (doi:10.1208/s12248-014-9661-0, doi:10.1208/s12248-014-9704-6, doi:10.1208/s12248-020-0427-6). It turned out that one of the commercial [sic] SWs tested was seriously flawed. Consequences: Dozens of approved drugs taken off the market. The glitch in the software was _partly_ corrected in 2014 and the vendor stopped marketing it in 2019.

Just by two cents
Helmut

--
Ing. Helmut Schütz
BEBAC – Consultancy Services for
Bioequivalence and Bioavailability Studies
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