Notes on two sample tests for partially correlated (paired) data

DOI10.1080/02664763.2013.830285OpenAlexW2037198565MaRDI QIDQ5128563

Hani M. Samawi, Robert L. Vogel

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.830285

zbMATH Keywords

power of the testweighted \(z\)-testcorrected \(z\)-testpartially dependent observationweighted \(t\)-tests

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

Analyzing partially paired data: when can the unpaired portion(s) be safely ignored? ⋮ Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data ⋮ Asymptotic‐based bootstrap approach for matched pairs with missingness in a single arm ⋮ Permuting incomplete paired data: a novel exact and asymptotic correct randomization test ⋮ Two sample test for high-dimensional partially paired data ⋮ Nonparametric procedures for partially paired data in two groups ⋮ Optimal weighted two-sample t-test with partially paired data in a unified framework

Cites Work

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• Bootstrap methods: another look at the jackknife
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• Resampling Student's \(t\)-type statistics
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• Accurate mean comparisons for paired samples with missing data: An application to a smoking-cessation trial
• Comparing means in the paired case with missing data on one response
• The Distribution of Linear Combinations of t-Variables
• Power Estimation for Two-Sample Tests Using Importance and Antithetic Resampling
• On difference of means with incomplete data

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