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药代动力学与药效研究建模

组织 PK/PD 研究模型、参数、暴露与反应分析,保存数据依据、模型假设及评价结果。

开源精选医疗业务31 个文件50,135 Stars浏览次数 0K-Dense-AI/scientific-agent-skills MIT版本 a1043ef
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适用环境:Requires Python 3.12+ with NumPy 2+ and SciPy. No network access and no proprietary software. The estimation tools this skill orients you towards (NONMEM, Monolix, Phoenix, Simcyp, GastroPlus) are licensed separately and are never invoked by these scripts.

输入资料
获准使用的 PK/PD 研究资料 模型目标、参数与分析环境 阅读本节完整说明
交付内容
可复查的研究模型 模型评价与假设说明 阅读本节完整说明
  1. 获取完整包,保留配套文件的目录结构。
  2. 按照原文准备所需工具、依赖与输入资料。
  3. 阅读对应使用步骤与输入输出说明,在自己的环境中验证结果。

使用提示摘自原文,配套文件保留来源版本;实际运行条件以各包说明为准。

正文

获取原文件

references/bioequivalence.md

Conventional average BE

Log-transform each prespecified positive PK metric and estimate the test/reference contrast under the actual design. Back-transform the 90% confidence interval. Conventional 80–125% limits are not universal; select metric, design, region and product-specific guidance before analyzing data.

The helper supports complete two-period RT/TR crossover and independent parallel observations. Crossover requires exactly one T and one R per subject, correct period/sequence labels and both sequences. It accounts for sequence in the within-subject contrasts. Parallel analysis requires one value per subject. Neither path handles missing-period replicate data, carryover, multiple groups, adaptive designs or repeated independent-looking values.

Reference scaling

Replicate BE needs a design-specific statistical model. Period/sequence-adjusted reference variance and treatment-contrast uncertainty cannot generally be obtained by pooling each subject's raw replicate variance or averaging repeats. The CLI therefore rejects replicate analysis and reference scaling; it must not output a regulatory pass from those shortcuts.

FDA's May 2026 guidance replaces the 2001 statistical guidance. Appendix G supplies HVD models: sWR >= 0.294, a reference-scaled upper-bound criterion and an 80–125% point-estimate constraint. In its scalar bound, x=estimate²-SE² and the negative variance term's bound uses the 0.95 chi-square quantile. The retained rsabe_bound helper only combines externally justified scalar inputs; it cannot fit the required design or determine applicability. FDA NTI analysis is distinct; --nti merely changes this CLI's conventional limits. FDA statistical guidance.

EMA widening for eligible highly variable Cmax uses exp(±0.760*sWR), capped at CVwR 50%, with 80–125% point-estimate constraints and prespecified clinical justification. It is not generic permission to widen AUC or NTI limits. ABEL and FDA RSABE are different procedures. The scalar abel_limits is arithmetic only; use a qualified design-specific implementation. EMA BE guideline.

Planning

Power depends on GMR, within-subject CV, allocation, design, dropout and analysis assumptions. The bundled calculation integrates over estimated variance using a finite quantile grid. It is a numerical approximation, not an exact Owen-Q implementation. With balanced 2x2, CV 30%, GMR 0.95 and target power 80%, it returns N=40 evaluable participants in synthetic checks. Probe sensitivity, then independently check the intended design using PowerTOST.

Current harmonization boundary

ICH M13A concerns immediate-release solid oral products; EU implementation began 25 January 2025. Regional provisions for replicate and NTI studies still require attention. M13B is now EMA Step 5, adopted September 2026 with effect March 2027; it concerns additional-strength biowaivers, not HVD statistics. M13C remains under development. See regulatory guidance.

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