TY - JOUR
T1 - Multi-sample standardization and decomposition analysis
T2 - An application to comparisons of methamphetamine use among rural drug users in three American states
AU - Wang, Jichuan
AU - Carlson, Robert G.
AU - Falck, Russel S.
AU - Leukefeld, Carl
AU - Booth, Brenda M.
PY - 2007/8/30
Y1 - 2007/8/30
N2 - 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.
AB - 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.
KW - DECOMP
KW - Drug users
KW - Multiple populations
KW - Standardization and decomposition
UR - http://www.scopus.com/inward/record.url?scp=34547520054&partnerID=8YFLogxK
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U2 - 10.1002/sim.2820
DO - 10.1002/sim.2820
M3 - Article
C2 - 17243192
AN - SCOPUS:34547520054
SN - 0277-6715
VL - 26
SP - 3612
EP - 3623
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 19
ER -