An introduction to causal inference for pharmacometricians.
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ABSTRACT:
SUBMITTER: Rogers JA
PROVIDER: S-EPMC9835139 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature
Publications
An introduction to causal inference for pharmacometricians.
Rogers James A JA Maas Hugo H Pitarch Alejandro Pérez AP
CPT: pharmacometrics & systems pharmacology 20221208 1
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). ...[more]
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