Autor:	James A. Rogers, Hugo Maas, Alejandro Pérez Pitarch
Rok vydání:	2022
Předmět:	Modeling and Simulation Pharmacology (medical)
Zdroj:	CPT: pharmacometricssystems pharmacologyREFERENCES.
ISSN:	2163-8306
Popis:	As formal causal inference begins to play a greater role in disciplines that intersect with pharmacometrics, such as biostatistics, epidemiology, and artificial intelligence/machine learning, pharmacometricians may increasingly benefit from a basic fluency in foundational causal inference concepts. This tutorial seeks to orient pharmacometricians to three such fundamental concepts: potential outcomes, g-formula, and directed acyclic graphs (DAGs).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff36d3360aa28f2937c10eeb1d08f981 https://pubmed.ncbi.nlm.nih.gov/36385744 Zobrazit plný text záznamu Plný text