Principal Component Analysis
Abstract When large multivariate datasets are analyzed, it is often desirable to reduce their dimensionality. Principal component analysis is one technique for doing this. It re...
Abstract When large multivariate datasets are analyzed, it is often desirable to reduce their dimensionality. Principal component analysis is one technique for doing this. It re...
There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We descri...
Without a complete published description of interventions, clinicians and patients cannot reliably implement interventions that are shown to be useful, and other researchers can...
An expert panel was convened in October 2013 by the International Scientific Association for Probiotics and Prebiotics (ISAPP) to discuss the field of probiotics. It is now 13 y...
PurposeTo identify challenges and solutions to the efficient conduct of a multisite, practiceâ based randomized controlled trial to improve nursesâ adherence to personal protect...
In interview studies, sample size is often justified by interviewing participants until reaching 'data saturation'. However, there is no agreed method of establishing this. We p...
Reports of cluster randomised trials require additional information to allow readers to interpret them accuratelyThe effective reporting of randomised controlled trials has rece...
Abstract The populations of dominant species within the human colonic microbiota can potentially be modified by dietary intake with consequences for health. Here we examined the...