A simulation study comparing different statistical approaches for the identification of predictive biomarkers

DOI10.1155/2019/7037230zbMath1423.92086OpenAlexW2949292400WikidataQ91939435 ScholiaQ91939435MaRDI QIDQ2003678

Alexander Hapfelmeier, Bernhard Haller, Kurt Ulm

Publication date: 9 July 2019

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2019/7037230

zbMATH Keywords

randomized clinical trialbiomarkers identificationcomparison of statistical approaches

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Bootstrap, jackknife and other resampling methods (62F40) Medical applications (general) (92C50)

Uses Software

• Unnamed Item
• car
• survival
• Stata
• GitHub
• stepp
• lplb
• carData

Cites Work

• Local partial-likelihood estimation for lifetime data
• Modeling survival data: extending the Cox model
• Multivariable Model‐Building
• A Simple Method for Estimating Interactions Between a Treatment and a Large Number of Covariates
• Investigation of age–treatment interaction in the SPACE trial using different statistical approaches

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