A comparative study of tests for paired lifetime data

DOI10.1007/S10985-006-9026-9zbMath1111.62094OpenAlexW1987985325WikidataQ31068404 ScholiaQ31068404MaRDI QIDQ878296

Zhu Wang, Hon Keung Tony Ng

Publication date: 26 April 2007

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-006-9026-9

zbMATH Keywords

Monte Carlo simulationsWeibull distributionPowerSizeLogistic distributionBivariate distributionWilcoxon signed rank statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Monte Carlo methods (65C05) Testing in survival analysis and censored data (62N03)

Related Items (4)

Exact simultaneous location-scale tests for two shifted exponential samples ⋮ Tests for censored paired data ⋮ Tests for Paired Lifetime Data with Frailty Models ⋮ A Class of Permutation Tests for the Equality of Two Marginal Survival Functions Using Paired Censored Data

Uses Software

• bootstrap

Cites Work

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• Some new constructions of bivariate Weibull models
• Multivariate distributions having Weibull properties
• Dependence estimation for marginal models of multivariate survival data.
• Analysis of multivariate survival data
• Permutation, parametric and bootstrap tests of hypotheses.
• Parametric analysis for matched pair survival data
• A power analysis of tests for paired lifetime data
• Multivariate Generalizations of the Proportional Hazards Model
• Bivariate Survival Models Induced by Frailties
• A Method for Simulating Stable Random Variables
• Testing Statistical Hypotheses

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