JOURNAL ARTICLE

Generalized log‐rank test for mixed interval‐censored failure time data

Qiang ZhaoJianguo Sun

Year: 2004 Journal:   Statistics in Medicine Vol: 23 (10)Pages: 1621-1629   Publisher: Wiley

Abstract

Abstract This paper considers the problem of non‐parametric treatment comparisons when mixed interval‐censored failure time data are available, which often occurs in clinical trials and epidemiological studies. By mixed interval‐censored data, we mean that the survival time of interest is observed to belong to an interval or to be right‐censored. For the problem, we generalize the most commonly used log‐rank test for right‐censored survival data. Numerical studies are conducted and reported to evaluate and compare the proposed test with the existing method, which indicate that the presented method works well. We apply the method to a data set arising from an AIDS cohort study, that motivated the study. Copyright © 2004 John Wiley & Sons, Ltd.

Keywords:
Log-rank test Statistics Interval (graph theory) Parametric statistics Confidence interval Survival analysis Data set Rank (graph theory) Mathematics Proportional hazards model Computer science Econometrics Combinatorics

Metrics

64
Cited By
1.48
FWCI (Field Weighted Citation Impact)
14
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Statistical Methods and Inference
Physical Sciences →  Mathematics →  Statistics and Probability
Advanced Causal Inference Techniques
Physical Sciences →  Mathematics →  Statistics and Probability

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