Understanding the predictive value of continuous markers for censored survival data using a likelihood ratio approach

Understanding the predictive value of continuous markers for censored survival data using a likelihood ratio approach

Abstract Background The likelihood ratio function (LR), the ratio of conditional probabilities of obtaining a specific marker value among those with the event of interest over those without, provides an easily interpretable way to quantify the update of the risk prediction due to the knowledge of th...

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Bibliographic Details
Main Authors: Andrew M. Smith, John P. Christodouleas, Wei-Ting Hwang
Format: Article
Language:English
Published: BMC 2019-05-01
Series:BMC Medical Research Methodology
Subjects:
Survival data
Biomarker
Likelihood ratio
Predictive value
Landmark analysis
ROC
Online Access:http://link.springer.com/article/10.1186/s12874-019-0721-0

Internet

http://link.springer.com/article/10.1186/s12874-019-0721-0

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