How Stratified Random Sampling Works, With Examples

Stratified random sampling is a method of sampling that divides a population into smaller groups that form the basis of test ...
Nature

A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data

Batch effects are the systematic non-biological differences between batches (groups) of samples in microarray experiments due to various causes such as differences in sample preparation and ...