123건 · 관련도순
Computes and interprets treatment effect measures (OR, RR, RD, HR, NNT) with calibrated confidence intervals (Wilson, Newcombe, Miettinen-Nurminen, MOVER, profile likelihood, Bender NNT) and reports marginal vs conditional estimands per FDA 2023 covariate adjustment guidance. Use when reporting treatment effects in confirmatory trials, comparing effect sizes across studies, or constructing forest plots.
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Use this skill when the user asks about refrigerated (reefer) trucking — cold chain compliance, FDA temperature recording requirements, Sanitary Transportation Rule (STR / 21 CFR 1.900-1.934), commodity-specific temperature ranges, refrigeration unit operation, temperature recorder calibration, and how a load is challenged if temperature deviates. Cite 21 CFR Part 1 Subpart Q.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.