A Causal Framework for Making Individualized Treatment Decisions in Oncology

A Causal Framework for Making Individualized Treatment Decisions in Oncology

We discuss how causal diagrams can be used by clinicians to make better individualized treatment decisions. Causal diagrams can distinguish between settings where clinical decisions can rely on a conventional additive regression model fit to data from a historical randomized clinical trial (RCT) to...

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Bibliographic Details
Main Authors:	Pavlos Msaouel, Juhee Lee, Jose A. Karam, Peter F. Thall
Format:	Article
Language:	English
Published:	MDPI AG 2022-08-01
Series:	Cancers
Subjects:	adjuvant therapy causal diagrams individualized inferences patient-specific decision-making precision medicine prognostic biomarkers
Online Access:	https://www.mdpi.com/2072-6694/14/16/3923

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