Related Experiment Video
Updated: Jul 17, 2026

High-throughput and Comprehensive Drug Surveillance Using Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry
Published on: April 23, 2019
Multi-sample standardization and decomposition analysis: an application to comparisons of methamphetamine use among
Jichuan Wang1, Robert G Carlson, Russel S Falck
1Center for Interventions, Treatment, and Addictions Research, Department of Community Health, Boonshoft School of Medicine, Wright State University, Dayton, OH 45435, USA. jichuan.wang@wright.edu
Abstract:
This study demonstrates how to use standardization and decomposition analysis (SDA) techniques to compare outcome measures simultaneously among multiple populations. Methamphetamine use among rural stimulant drug users in three geographically distinct areas of the US (Arkansas, Kentucky, and Ohio) is presented as an example of applying SDA. Findings show that the observed crude rate of 'ever used' methamphetamine in the past 30 days and the frequency of methamphetamine use in the past 30 days were much higher in Kentucky than in the other two states. However, after the compositions of socio-demographic confounding factors were standardized across the samples, the two measures of methamphetamine use ranked highest in Arkansas, followed by Kentucky, and then Ohio. Confounding factors contributed in various dimensions to the differences in the observed outcome measures among the distinct samples. The study shows that SDA is a useful technique for multi-population comparisons, providing an opportunity to look at data from a different perspective in medical studies.
Related Concept Videos
Analysis of Population Pharmacokinetic Data
One-Way ANOVA: Equal Sample Sizes
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Mechanistic Models: Compartment Models in Individual and Population Analysis
Drug Concentrations: Measurements
Plasma —...

