Open Access
Causa Nostra: The Potentially Legitimate Business of Drawing Causal Inferences From Observational Data
Author(s) -
Rogers James A.
Publication year - 2019
Publication title -
cpt: pharmacometrics and systems pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.53
H-Index - 37
ISSN - 2163-8306
DOI - 10.1002/psp4.12395
Subject(s) - observational study , causal inference , computer science , data science , econometrics , economics , mathematics , statistics
I was delighted to participate as a speaker and panel discussant at the 2018 American Conference on Pharmacometrics in a session devoted to dialogue between "pharmacometric modelers" and "statisticians". In the current perspective I reprise the major points of my talk, which addressed the possibility of drawing valid causal inferences from observational data. I augment this reprise with brief remarks comparing diagrammatic conventions in pharmacometrics to those used in formal causal diagrams. This article is protected by copyright. All rights reserved.