Journal article

A multifaceted analytical approach for detecting effects on semen quality when using small sample sizes.

D Stefanovski, RC Boston, EM Woodward, GC Althouse

Theriogenology | Published : 2019

Abstract

Driven by technical, logistical and economic limitations, detection of treatment effects on semen quality typically include the design and collection of small sample datasets. A consequence of these small sample studies is that they suffer low statistical power. Historically, researchers faced with small sample size studies have relied upon non-parametric analysis; however, this approach is still unlikely to tease out a true statistical significance based upon limited sample size. Here we propose a novel methodology that can be applied in small samples study situations that combines repeated measures ANOVA and Mixed-Effects linear regression models with Bayesian Linear regression modeling wh..

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University of Melbourne Researchers