AI for Statistician

Tip: Treat the response as a first pass, not the QC review itself. Run the edge cases it names against the real function and check the output by hand, since a model can describe a bug convincingly and still be wrong about whether it triggers. If the function has a hard-coded file path or sample values baked in for testing, strip those before pasting. For code that belongs to a client or a regulated project, check that your team allows it in this chatbot first, because the code itself can be confidential even when no data is attached.

Tip: Check that every original comment number shows up somewhere in the outline. A dropped comment in a regulatory response causes more trouble than a slow one. If the comment list is confidential correspondence with a sponsor or agency, confirm your team's policy on pasting it into a consumer chatbot first, and paraphrase the sensitive parts if the policy is unclear.

Tip: Check the paragraph word for word against the numbers you already ran through PROC POWER, G*Power, or R, because a rewrite can quietly round 248 to 250 or swap alpha and power into the wrong sentence. The AI is only writing the sentence, never the calculation, so rerun the math yourself if anything in the draft does not match what you gave it.

Tip: Run your real analysis script against the synthetic file and confirm it returns the same expected answer the generation code printed. That match is the entire point of the test fixture. Base the structure on your codebook, not on a real dataset, and never seed a synthetic generator with actual subject, claims, or survey values.

Tip: Compare the shell's population definition and subgroup columns against the SAP before handing it to a programmer, since a mismatched population definition here becomes a rework request later. This task never needs real data. Describe the table's structure and leave the underlying dataset out of it entirely.

Tip: Run the translated code against the same dataset the SAS version used, or a small test case with a known answer, and compare the output line by line before you swap it in for the original. Strip any hard-coded subject IDs, claim numbers, or test values from the code before pasting, since a SAS macro can carry real data inside comments or embedded test blocks. Production macros are also your employer's or sponsor's property, so confirm the chatbot is on the approved list before pasting code from a live study or filing.