JOURNAL ARTICLE

Nonparametric tests for left-truncated and interval-censored data

Pao‐Sheng Shen

Year: 2014 Journal:   Journal of Statistical Computation and Simulation Vol: 85 (8)Pages: 1544-1553   Publisher: Taylor & Francis

Abstract

This paper considers two-sample nonparametric comparison of survival function when data are subject to left truncation and interval censoring. We propose a class of rank-based tests, which are generalization of weighted log-rank tests for right-censored data. Simulation studies indicate that the proposed tests are appropriate for practical use.

Keywords:
Mathematics Censoring (clinical trials) Nonparametric statistics Statistics Log-rank test Survival function Generalization Truncation (statistics) Confidence interval Econometrics Survival analysis

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Citation History

Topics

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

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