Use of alternating logistic regression in studies of drug-use clustering

Substance Use and Misuse

Volumn 35, Issue 6-8, 2000, Pages

  Bobashev, Georgiy V ^b   Anthony, James C ^a,b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Cannabis use disorder; Epidemiology; Marijuana; Regression; Space time clustering

Indexed keywords

CANNABIS;

ARTICLE; CANNABIS ADDICTION; EPIDEMIOLOGY; HUMAN; MEASUREMENT; PRIORITY JOURNAL; REGRESSION ANALYSIS; SAMPLING; STATISTICAL ANALYSIS; UNITED STATES;

EID: 0343133910     PISSN: 10826084     EISSN: None     Source Type: Journal    
DOI: 10.3109/10826080009148432     Document Type: Article

References (40)

1. ANGLIN, M. D., HSER, Y-I., and GRELLA, C. F., (1997). Drug addiction and treatment careers among clients in the drug abuse study (DATOS). Psychol. Addict. Behav. 11: 308-323.
2. ANTHONY, J. C. (1996). Clusters of Non-Medical Drug Use in the United States, Unpublished grant application abstract and proposal. Available at http://mh.jhsph.edu,/janthony/ useluster.html
3. ANTHONY, J. C. and PETRONIS, K. R. (1991). Epidemiologic evidence on suspected associations between cocaine use and psychiatric disturbances. In S. Schober and C. Schade (Eds.), The Epidemiology of Cocaine Use and Abuse (National Institute on Drug Abuse Research Monograph 110, DHHS Publication ADM 91-1787, pp. 71-94. Washington, DC: US Government Printing Office.
4. ANTHONY, J. C., TIEN, A. Y., and PETRONIS, K. R. (1989). Epidemiologic evidence on cocaine use and panic attacks. Am. J. Epidemiol. 129: 543-549.
5. ANTHONY, J. C., and VAN ETTEN, M. L. (1998). Epidemiology and its rubrics. In A. Bellack and M. Hersen (Eds.), Comprehensive Clinical Psychology, Vol. I. Oxford, UK: Elsevier.
6. BOBASHEV, G. V., and ANTHONY, J. C. (1998). Clusters of marijuana use in the United States. Am. J. Epidemiol. 148: 1168-1174.
7. BOBASHEV, G. V., and ANTHONY, J. C. (under review). Clustering of inhalant drug use in six metropolitan areas in the United States, 1991 1993.
8. BRESLOW, N. E., and DAY, N. E. (1983). Statistical Methods in Cancer Research. Volume I: The Analysis of Case-Control Stadies. Oxford: Oxford University Press.
9. BRESLOW, N. E., and DAY, N. E. (1988). Statistical Methods in Cancer Research. Volume II: The Design and Analysis of Cohort Studies. Oxford: Oxford University Press.
10. BRYK, A. R., and RAUDENBUSH, S. W. (1992). Hierarchical Linear Models: Applications and Data Analysis Methods. Newbury Park, CA: Sage.
11. CAREY, V. (1992). Regression Analysis for Large Binary Clusters. Unpublished Ph.D. Thesis, Department of Biostatistics, The Johns Hopkins University, Baltimore, MD.
12. CAREY, V., ZEGER, S. L., and DIGGLE, P. (1993). Modeling multivariate binary data with alternating logistic regressions. Biometrika 80: 517-526.
13. CARRAT, F., and VALLERON, A. J. (1992). Epidemiologic mapping using the "kriging" method: Application to an influenza-like illness epidemic in France. Am. J. Epidemiol. 135: 1293-1300.
14. CRUM, R. M., and ANTHONY, J. C. (1993). Cocaine use and other suspected risk factors for obsessive-compulsive disorder: A prospective study with data from the epidemiologic catchment area surveys. Drug Alcohol Depend. 31: 281-295.
15. CRUM, R. M., BUCHOLZ, K. K., HELZER, J. E., and ANTHONY, J. C. (1992). The risk of alcohol abuse and dependence in adulthood: The associations with educational level. Am. J. Epidemiol. 135: 989-999.
16. CRUM, R. M., HELZER, J. E., and ANTHONY, J. C. (1993). Level of education and alcohol abuse and dependence in adulthood: A further inquiry. Am. J. Public Health 83: 830-837.
17. CRUM, R. M., MUNTANER, C., EATON, W. W., and ANTHONY, J. C. (1995). Occupational stress and the risk of alcohol abuse and dependence. Alcohol: Clin. Exp. Res. 19: 647-655.
18. DELVA, J., SPENCER, M. S., and LINN, J. K. (2000). Racial ethnic and educational differences in the estimated odds of recent nitrite use among adult household residents in the United States: An illustration of matching and conditional logistic regression. Substance Use Misuse 35: 1075-1096 (this issue).
19. DIGGLE, P. J., LIANG, K. Y., and ZEGER, S. L. (1995). Analysis of Longitudinal Data. Oxford: Clarendon Press.
20. ESFANDIARI, A., SWARTZ, J., and TEKLEHAIMANOT, S. (1997). Clustering of giardiosis among AIDS patients in Los Angeles County. Cell. Mol. Biol. 43: 1077-1083.
21. HU, F. B., GOLDBERG, J., HEDEKER, D., FLAY, B. R., and PENTZ, M. A. (1998). Comparison of population-averaged and subject-specific approaches for analyzing repeated binary outcomes. Am. J. Epidemiol. 147: 694-703.
22. GREENWOOD, M. (1935). Epidemics and Crowd Diseases: An Introduction to the Study of Epidemiology. New York, NY: Macmillan.
23. KATZ, J., CAREY, V. J., ZEGER, S. L., and SOMMER, A. (1993). Estimation of design effects and diarrhea clustering within households and villages. Am. J. Epidemiol. 13: 994-1006.
24. KELLAM, S. G., and ANTHONY, J. C. (1998). Targeting antecedents to prevent tobacco smoking: Findings from an epidemiologically-based randomized field trial. Am. J. Public Health. 88(10): 1490-1495.
25. LEMESHOW, S., LETENNEUR, L., DARTIGUES, J. F., LAFONT, S., ORGOGOZO, J. M., and COMMENGES, D. (1998). Personnes ages quid. Am. J. Epidemiol. 148: 298-306.
26. LILLIE-BLANTON, M., ANTHONY, J. C., and SCHUSTER, C. R. (1993). Probing the meaning of racial/ethnic group comparisons in crack-cocaine smoking. JAMA 269: 993-997.
27. MUNTANER, C., ANTHONY, J. C., CRUM, R., and EATON, W. W. (1995). Psychosocial dimensions of work and the risk of drug dependence among adults. Am. J. Epidemiol. 142(2): 183-190.
28. MUTHEN, B. (1997). Latent variable modeling with longitudinal and multilevel data. In A. Raftery (Ed.), Sociological Methodology (pp. 453-480). Boston, MA: Blackwell Publishers.
29. OBOT, I. S., HUBBARD, S., and ANTHONY, J. C. (in press). Level of education and injecting drug use among African Americans.
30. PETRONIS, K. R., and ANTHONY, J. C. (under review). Perceived risk of cocaine use and experience: Do they cluster within U.S. neighborhoods and cities.
31. RAYENS, M. K., and KRYSCIO, R. J. (1993). Properties of Tango's index for detecting clustering in time. Stat. Med. 12: 1813-1827.
32. SCHLESSELMAN, J. J., and STOLLEY, P. D. (1982). Case-Control Studies: Design, Conduct. Analysis. Oxford: Oxford University Press.
33. SCHUTZ, C. G., CHILCOAT, H. D., and ANTHONY, J. C. (1994). The association between sniffing inhalants and injecting drugs. Compr. Psychiatry 35: 99-105.
34. SCIENTIFIC SOFTWARE INTERNATIONAL (1998). http://www.ssicentral.com/hlm/ 2bdes.htm
35. SHAH, B. V., and LAVANGE (1982). Software for inference on linear models from survey data. In Proceedings of the American Statistical Association. Section on Survey Research Methods. Washington, DC: American Statistical Association.
36. SIMPSON, D. D., JOE, G. W., and BROWN, B. S. (1997). Treatment retention and follow-up outcomes in the Drug Abuse Treatment Outcome Study (DATOS). Psychol. Addict. Behav. II: 294-307.
37. TIEN, A. Y., and ANTHONY, J. C. (1990). Epidemiological analysis of alcohol and drug use at risk factors for psychotic experiences. J. Nerv. Ment. Dis. 178: 473-480.
38. VALENTE, T. W. (1995) Network Models of the Diffusion of Innovations. Creskill, NJ: Hampton Press.
39. WAGNER-ECHEAGARRAY, F., SCHUTZ, C. G., CHILCOAT, H. D., and ANTHONY, J. C. (1994). Degree of acculturation and the risk of crack cocaine smoking among Hispanic Americans. Am. J. Public Health 84: 1825-1827.
40. WALLENSTEIN, S., NAUS, J., and GLAZ, J. (1993). Power of the scan statistic for detection of clustering. Stat. Med. 12: 1829-1843.