Using causal directed acyclic graphs (DAGs) to select patient-important outcomes in transplantation trials—interventions to treat polyomavirus infection as an example

Yue Wu; Michael Dymock; Ryan Gately; Julie A. Marsh; Carmel Hawley; Germaine Wong; Thomas L. Snelling

doi:10.1016/j.kint.2023.07.013

Using causal directed acyclic graphs (DAGs) to select patient-important outcomes in transplantation trials—interventions to treat polyomavirus infection as an example

Yue Wu, Michael Dymock, Ryan Gately, Julie A. Marsh, Carmel Hawley, Germaine Wong, Thomas L. Snelling

Research output: Contribution to journal › Editorial › peer-review

Original language	English
Pages (from-to)	628-633
Number of pages	6
Journal	Kidney International
Volume	104
Issue number	4
DOIs	https://doi.org/10.1016/j.kint.2023.07.013
Publication status	Published - Oct 2023

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10.1016/j.kint.2023.07.013

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title = "Using causal directed acyclic graphs (DAGs) to select patient-important outcomes in transplantation trials—interventions to treat polyomavirus infection as an example",

keywords = "acute rejection, causal directed acyclic graph, clinical trial, transplantation",

author = "Yue Wu and Michael Dymock and Ryan Gately and Marsh, {Julie A.} and Carmel Hawley and Germaine Wong and Snelling, {Thomas L.}",

year = "2023",

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language = "English",

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T1 - Using causal directed acyclic graphs (DAGs) to select patient-important outcomes in transplantation trials—interventions to treat polyomavirus infection as an example

AU - Wu, Yue

AU - Dymock, Michael

AU - Gately, Ryan

AU - Marsh, Julie A.

AU - Hawley, Carmel

AU - Wong, Germaine

AU - Snelling, Thomas L.

PY - 2023/10

Y1 - 2023/10

KW - acute rejection

KW - causal directed acyclic graph

KW - clinical trial

KW - transplantation

UR - http://www.scopus.com/inward/record.url?scp=85170555576&partnerID=8YFLogxK

U2 - 10.1016/j.kint.2023.07.013

DO - 10.1016/j.kint.2023.07.013

M3 - Editorial

C2 - 37739611

AN - SCOPUS:85170555576

SN - 0085-2538

VL - 104

SP - 628

EP - 633

JO - Kidney International

JF - Kidney International

IS - 4

ER -

Using causal directed acyclic graphs (DAGs) to select patient-important outcomes in transplantation trials—interventions to treat polyomavirus infection as an example

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