Estimating heterogeneous survival treatment effects of lung cancer screening approaches: A causal machine learning analysis

The National Lung Screening Trial (NLST) found that low-dose computed tomography (LDCT) screening provided lung cancer (LC) mortality benefit compared to chest radiography (CXR). Considerable research concerns identifying the differential treatment effects that may exist in certain subpopulations. W...

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Veröffentlicht in:	Annals of epidemiology 2021-10, Vol.62, p.36-42
Hauptverfasser:	Hu, Liangyuan, Lin, Jung-Yi, Sigel, Keith, Kale, Minal
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayes Theorem Bayesian machine learning Causal inference Early Detection of Cancer Humans Individualized screening Lung cancer prevention Lung Neoplasms - diagnostic imaging Machine Learning Mass Screening Tomography, X-Ray Computed
Online-Zugang:	Volltext
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