Test power for drug abuse surveillance
Publication
, Journal Article
Niemi, J; Smith, M; Banks, D
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
December 1, 2008
Syndromic surveillance can be used to assess change in drug abuse rates and to find regions in which abuse is most common. This paper compares the power of three syndromic surveillance procedures (a paired-sample test, a process control chart, and a conditional autoregressive model) for detecting change in opioid drug abuse patterns, using data from two reporting systems (the OTP and PCC datasets). We find that the conditional autoregressive model provides good power and geographic information and that the OTP data carry the strongest signal. © 2008 Springer Berlin Heidelberg.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
December 1, 2008
Volume
5354 LNBI
Start / End Page
131 / 142
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Niemi, J., Smith, M., & Banks, D. (2008). Test power for drug abuse surveillance. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5354 LNBI, 131–142. https://doi.org/10.1007/978-3-540-89746-0_13
Niemi, J., M. Smith, and D. Banks. “Test power for drug abuse surveillance.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5354 LNBI (December 1, 2008): 131–42. https://doi.org/10.1007/978-3-540-89746-0_13.
Niemi J, Smith M, Banks D. Test power for drug abuse surveillance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Dec 1;5354 LNBI:131–42.
Niemi, J., et al. “Test power for drug abuse surveillance.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5354 LNBI, Dec. 2008, pp. 131–42. Scopus, doi:10.1007/978-3-540-89746-0_13.
Niemi J, Smith M, Banks D. Test power for drug abuse surveillance. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2008 Dec 1;5354 LNBI:131–142.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
December 1, 2008
Volume
5354 LNBI
Start / End Page
131 / 142
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences