The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.
R: A Language and Environment for Statistical Computing
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2025 2verdicts
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plmmr is an R package implementing penalized linear mixed models with file-backing for GWAS data exhibiting complex correlation structures.
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Balancing Evidentiary Value and Sample Size of Adaptive Designs with Application to Animal Experiments
The paper introduces the EUII, derived from diagnostic likelihood ratios adjusted for sample size, to quantify evidentiary value per experimental unit and applies it to group-sequential adaptive designs for animal research.
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plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure
plmmr is an R package implementing penalized linear mixed models with file-backing for GWAS data exhibiting complex correlation structures.