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 samples.
JournalofAccountancy

Improve audit sampling efficiency with Excel’s Solver tool

Stratified mean-per-unit sampling is a key tool used by auditors. The popularity of this statistical procedure arises from its unique ability to produce trustworthy ...
JD Supra

There Is No One Size Fits All Sample Size Appropriate for TAR Validation (Part II)

In the first part of this piece I pointed out why it can be difficult to validate TAR using control set metrics. When the overall proportion of responsive documents is very low, it becomes ...
ascopubs.org

Bayesian Sample Size Planning Tool for Phase I Dose-Finding Trials

Implementation of the Time-to-Event Continuous Reassessment Method Design in a Phase I Platform Trial Testing Novel Radiotherapy-Drug Combinations—CONCORDE BayeSize applies the concept of effect size ...
AZOM

Advantages of Using Headspace Sampling for Volatile Sample Analysis

A recent article explained the role of Gas Chromatography-Mass Spectrometry (GC/MS) in the analytics laboratory. The current article focuses on reviewing the technology used for preparing volatile ...