smooth-app
A collaborative, free and open database of ingredients, nutrition facts and information on food products from around the world
翻譯準備中
用於族群 PK/PD 的統合分析框架——可將模型擬合至摘要層級資料(每項研究的平均值與協方差)或先前發表的 PK/PD 模型,屬於 nlmixr2 / rxode2 生態系統。
AI 翻譯
A meta-analysis framework for population PK/PD — fit models to summary-level data (means and covariances per study) or to previously published PK/PD models, in the nlmixr2 / rxode2 ecosystem.
健康R · C++GitHub @LeidenPharmacology上線中營運者未確認
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一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
admixr2 is a meta-analysis framework for population PK/PD. It fits
pharmacometric models directly to summary-level data — the mean vector E
and covariance matrix V reported per study — instead of individual patient
records. The inputs can be digitised aggregate data from published studies,
previously published PK/PD models, or a mix of both; the result is a single
unified population model with interpretable fixed, random and covariate effects.
It integrates with the nlmixr2 /
rxode2 ecosystem and provides four
estimation backends:檢視完整 README ↗目前無法載入完整 README。請透過原文連結閱讀。 以下為已儲存的摘錄。
admixr2 is a meta-analysis framework for population PK/PD. It fits
pharmacometric models directly to summary-level data — the mean vector E
and covariance matrix V reported per study — instead of individual patient
records. The inputs can be digitised aggregate data from published studies,
previously published PK/PD models, or a mix of both; the result is a single
unified population model with interpretable fixed, random and covariate effects.
It integrates with the nlmixr2 /
rxode2 ecosystem and provides four
estimation backends:檢視完整 README ↗