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
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..View full abstract