A new approach to estimate correlation coefficients in the presence of censoring and proportional hazards

DOI10.1016/S0167-9473(96)00045-XzbMath0900.62297MaRDI QIDQ1391990

Alexandra Kaider, Michael Schemper

Publication date: 23 July 1998

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

zbMATH Keywords

Kendall's tauSpearman's rhoMultiple imputationCox's modelExplained variation

Mathematics Subject Classification ID

Measures of association (correlation, canonical correlation, etc.) (62H20) Probabilistic methods, stochastic differential equations (65C99)

Related Items (6)

Explained variation for recurrent event data ⋮ A comparison of imputation techniques for handling missing predictor values in a risk model with a binary outcome ⋮ Predictive Accuracy and Explained Variation in Cox Regression ⋮ A. R.²type measure of dependence for proportional hazards models ⋮ Correlating Two Viral Load Assays with Known Detection Limits ⋮ A Measure of Explained Variation for Event History Data

Uses Software

• bootstrap

Cites Work

• Survival Estimation Using Splines
• The explained variation in proportional hazards regression
• Comparison of Four Tests for Equality of Survival Curves in the Presence of Stratification and Censoring
• Measures of dependence for censored survival data
• A note on a general definition of the coefficient of determination
• One‐ and Two‐Sample Tests of Kendall's τ
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