Estimation of C-Index for cox proportional hazards model with censored biomarker covariate subject to limits of detection

Yeonhee Kim, Lan Kong

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Biomarkers play an important role to predict the time to event of interest. To evaluate the prediction performance of biomarkers, Cox proportional hazards model and Harrells C-index have been widely used. However, when some of the biomarker measurements are not fully observed due to detection limits of given instrument, evaluation may become complicated. We estimate the Cox model and concordance probability in the presence of censored biomarker data. Simulation study demonstrates that the proposed method outperforms over the simple ad hoc method. Our approach is especially useful to evaluate discrimination potential of the biomarker regardless of variant detection limits.

Original languageEnglish (US)
Pages (from-to)459-473
Number of pages15
JournalJournal of Biopharmaceutical Statistics
Volume25
Issue number3
DOIs
StatePublished - May 4 2015

Fingerprint

Cox Proportional Hazards Model
Biomarkers
Proportional Hazards Models
Limit of Detection
Covariates
Detection Limit
Cox Model
Concordance
Evaluate
Performance Prediction
Discrimination
Simulation Study
Predict
Evaluation
Estimate
Demonstrate

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Cite this

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