ArticleBiometrics2012
A note on two-sample tests for comparing intra-individual genetic sequence diversity between populations.
Article in Biometrics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- HIV-1 antibody 3BNC117 suppresses viral rebound in humans during treatment interruption.Nature · 2016Trial
- Phylogenetic Analyses Comparing HIV Sequences from Plasma at Virologic Failure to Cervix Versus Blood Sequences from Antecedent Antiretroviral Therapy Suppression.AIDS research and human retroviruses · 2019Observational
- Article
- HIV-1 therapy with monoclonal antibody 3BNC117 elicits host immune responses against HIV-1.Science (New York, N.Y.) · 2016Article
- Use of Dried Blood Spots to Elucidate Full-Length Transmitted/Founder HIV-1 Genomes.Pathogens & immunity · 2016Article
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Authors and funding
2 authors.
Funding
Abstract
Gilbert, Rossini, and Shankarappa (2005, Biometrics 61, 106-117) present four U-statistic based tests to compare genetic diversity between different samples. The proposed tests improved upon previously used methods by accounting for the correlations in the data. We find, however, that the same correlations introduce an unacceptable bias in the sample estimators used for the variance and covariance of the inter-sequence genetic distances for modest sample sizes. Here, we compute unbiased estimators for these and test the resulting improvement using simulated data. We also show that, contrary to the claims in Gilbert et al., it is not always possible to apply the Welch-Satterthwaite approximate t-test, and we provide explicit formulas for the degrees of freedom to be used when, on the other hand, such approximation is indeed possible.
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