Jenner compatibility tests for 2 script(s)#1
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Bundles derived from the %create_sample data-simulation macros in SAS-examples/gformula-052919 (example1.sas, example2.sas). Each runs the seeded longitudinal-cohort generator through the Jenner API down to its PROC MEANS summary. Includes the bash/Windows/SAS runners and a README. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Jenneranalytics.com provides an API that runs SAS code, with support for more than 200 SAS procedures. You can also use it with Anthropic Claude Code AI in a collaborative workspace. It's available for Mac on the Apple App Store, and by license for Windows and Linux. Your SAS code here runs on it unmodified — this PR adds a couple of compatibility bundles built straight from your
%create_samplemacros so you can see for yourself.This PR adds a
jenner-check/directory; nothing else in the repo is touched.Each bundle is the simulated-cohort generator from one of your
SAS-examplesprograms, run end to end through the Jenner API down to itsPROC MEANSsummary. To reproduce:cd jenner-check && ./run_jenner.sh --all(or paste ascript.sasinto the hosted workspace).What stood out reading the examples: the
%create_samplemacros are a genuinely tidy way to stand up a longitudinal cohort — the seededstreaminit, the covariate arrays carried forward as one- and two-period lags, and thedo…untiltruncation at the first event give you a reproducible test dataset without shipping any PHI. The%if/%elseevent branching inexample2that compiles a different truncation condition and end-of-follow-up outcome per outcome type is a clean touch. Both ran through Jenner unmodified, lags, conditional macro logic, and all.Merge it, close it, or ignore it — whatever's useful to you; no response expected. To opt out of any future PRs from us, reply with
no-more-prsanywhere in a comment, or open an issue titledjenner-check: opt out.Lawrence W. Sinclair
CEO / Jenner Analytics Ltd
jenneranalytics.com
linkedin.com/in/lwsinclair/