Permutation test for incomplete paired data with application to cDNA microarray data

DOI10.1016/j.csda.2011.08.012zbMath1239.62053OpenAlexW2043774936MaRDI QIDQ425641

Byung Soo Kim, Johan Lim, Woncheol Jang, Kyunga Kim, Donghyeon Yu, Feng Liang

Publication date: 8 June 2012

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2011.08.012

zbMATH Keywords

colorectal cancer

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50) Biochemistry, molecular biology (92C40)

Related Items

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

Uses Software

• GSA

Cites Work

• Exact and asymptotically robust permutation tests
• On testing the significance of sets of genes
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• On the Behavior of Randomization Tests Without a Group Invariance Assumption
• On comparing means in the paired case with incomplete data on both responses
• Testing equality of means of correlated variates with missing observations on both responses
• Distributions Generated by Perturbation of Symmetry with Emphasis on a Multivariate Skewt-Distribution
• On difference of means with incomplete data
• Multivariate T-Distributions and Their Applications
• Correlation and Large-Scale Simultaneous Significance Testing
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