Analyzing partially paired data: when can the unpaired portion(s) be safely ignored?

DOI10.1080/02664763.2020.1864813OpenAlexW3116577046MaRDI QIDQ5073407

Li Yan, Qianya Qi, Lili Tian

Publication date: 6 May 2022

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

Full work available at URL: https://doi.org/10.1080/02664763.2020.1864813

zbMATH Keywords

normalityhypothesis testingpaired data\(P\)-value

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

• Permutation test for incomplete paired data with application to cDNA microarray data
• Ranking procedures for matched pairs with missing data -- asymptotic theory and a small sample approximation
• Accurate mean comparisons for paired samples with missing data: An application to a smoking-cessation trial
• On comparing means in the paired case with incomplete data on both responses
• Inference about means from incomplete multivariate data
• Testing equality of means of correlated variates with missing observations on both responses
• On difference of means with incomplete data
• Permuting incomplete paired data: a novel exact and asymptotic correct randomization test
• Notes on two sample tests for partially correlated (paired) data
• Hypothesis test for paired samples in the presence of missing data
• Testing equality of two normal means using combined samples of paired and unpaired data
• A test for equality of means of correlated variates with missing data on one response

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