The effect of misclassification on sample size for one and two-sample tests with binary endpoints.
Sign Up to like & getrecommendations! Published in 2024 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2024.2444231
Abstract: In recent years, an increasing number of publications on the analysis of binary data have applied methods that take misclassification into account. However, potential misclassification is often ignored in study design due to the lack… read more here.
Keywords: sample size; sample tests; sample; two sample ... See more keywords
Two‐sample tests of high‐dimensional means for compositional data
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DOI: 10.1093/biomet/asx060
Abstract: Summary Compositional data are ubiquitous in many scientific endeavours. Motivated by microbiome and metagenomic research, we consider a two‐sample testing problem for high‐dimensional compositional data and formulate a testable hypothesis of compositional equivalence for the… read more here.
Keywords: high dimensional; compositional data; two sample; tests high ... See more keywords
Many-sample tests for the equality and the proportionality hypotheses between large covariance matrices
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DOI: 10.1214/24-ejs2287
Abstract: This paper proposes procedures for testing the equality hypothesis and the proportionality hypothesis involving a large number of $q$ covariance matrices of dimension $p\times p$. Under a limiting scheme where $p$, $q$ and the sample… read more here.
Keywords: proportionality; sample tests; covariance; tests equality ... See more keywords