Evaluating Markers for Selecting a Patient's Treatment

DOI10.1111/j.0006-341X.2004.00242.xzbMath1274.62877WikidataQ48507787 ScholiaQ48507787MaRDI QIDQ3445326

Margaret Sullivan Pepe, Xiao Song

Publication date: 11 June 2007

Published in: Biometrics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items

Evaluating Markers for Selecting a Patient's Treatment ⋮ A tutorial on interaction ⋮ Identifying optimal biomarker combinations for treatment selection via a robust kernel method ⋮ Evaluating marker-guided treatment selection strategies ⋮ Combining biomarkers to optimize patient treatment recommendations ⋮ Effectively Selecting a Target Population for a Future Comparative Study ⋮ Addressing patient heterogeneity in disease predictive model development ⋮ Change-Plane Analysis for Subgroup Detection with a Continuous Treatment ⋮ Analysis of randomized comparative clinical trial data for personalized treatment selections ⋮ Assessing Treatment‐Selection Markers using a Potential Outcomes Framework ⋮ Bayesian predictive modeling for genomic based personalized treatment selection ⋮ Subgroup Analysis with Time-to-Event Data Under a Logistic-Cox Mixture Model ⋮ Focused information criterion on predictive models in personalized medicine

Cites Work

• Unnamed Item
• Bayesian inference for causal effects: The role of randomization
• Evaluating Markers for Selecting a Patient's Treatment
• Statistics and Causal Inference