Advertisement

The Epidemiologic Case-Crossover and Case–Control Approaches in Prevention Research

  • James C. (Jim) Anthony
Chapter
Part of the Advances in Prevention Science book series (Adv. Prevention Science)

Abstract

Point: If the evidence from prevention research is to be definitive, compelling, and translational into public health action, our studies must be tightly controlled and disciplined, perhaps even rigid. For this reason, within the prevention sciences, we tend to bite the tongue when our ideas track toward innovation in research approach.

Keywords

Incident Case Prevention Research Data Safety Monitoring Board Experience Sampling Method Prevention Scientist 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The preparation of this chapter was supported, in part, by a National Institute on Drug Abuse (NIDA) senior scientist and mentorship career award (K05DA015799). There are no other conflicts of interest to disclose. The content is the sole responsibility of the author and does not necessarily represent the official views of Michigan State University, NIDA, or the National Institutes of Health.

References

  1. Agudo, A., Peluso, M., Munnia, A., Luján-Barroso, L., Sánchez, M. J., Molina-Montes, E., et al. (2012). Aromatic DNA adducts and risk of gastrointestinal cancers: A case-cohort study within the EPIC-Spain. Cancer Epidemiological Biomarkers and Prevention, 21(4), 685–692.CrossRefGoogle Scholar
  2. Anthony, J. C. (1988). The epidemiologic case–control strategy, with applications in psychiatric research. In A. S. Henderson & G. D. Burrows (Eds.), Handbook of social psychiatry (pp. 157–171). Amsterdam: Elsevier Science Publishers.Google Scholar
  3. Anthony, J. C. (1990). Prevention research in the context of epidemiology, with a discussion of public health models. In P. Muehrer (Ed.), Conceptual research models for preventing mental disorders (pp. 1–32) (DHHS Publication No. ADM 90-1713). Washington, DC: GPO.Google Scholar
  4. Anthony, J. C., Breitner, J. C., Zandi, P. P., Meyer, M. R., Jurasova, I., Norton, M. C., et al. (2000). Reduced prevalence of AD in users of NSAIDs and H2 receptor antagonists: The Cache County study. Neurology, 54(11), 2066–2071.PubMedCrossRefGoogle Scholar
  5. Dodge, K. A., Malone, P. S., Lansford, J. E., Miller, S., Pettit, G. S., & Bates, J. E. (2009). A dynamic cascade model of the development of substance use onset. Monographs of the Society for Research on Child Development, 74(3), vii–119.CrossRefGoogle Scholar
  6. Gajaria, A., Yeung, E., Goodale, T., & Charach, A. (2011). Beliefs that attention-deficit/hyperactivity disorder and response to stereotype: Youth posting in Facebook groups. Journal of Adolescent Health, 19(1), 15–20.CrossRefGoogle Scholar
  7. Gordis, L. (2009). Epidemiology (4th ed.). Philadelphia: W. B. Saunders.Google Scholar
  8. Henderson, A. S., Jorm, A. F., Korten, A. E., Creasey, H., McCusker, E., Broe, G. A., et al. (1992). Environmental risk factors for Alzheimer’s disease: Their relationship to age of onset and to familial or sporadic types. Psychological Medicine, 22(2), 429–436.PubMedCrossRefGoogle Scholar
  9. Ialongo, N. (2002). Wedding the public health and clinical psychological perspective as a prevention scientist. Prevention and Treatment, 5(1), Article 4.Google Scholar
  10. Johnson, A. L., Morrow, C. E., Accornero, V. H., Xue, L., Anthony, J. C., & Bandstra, E. S. (2002). Maternal cocaine use: Estimated effects on mother-child play interactions in the preschool period. Journal of Development and Behavioral Pediatrics, 23(4), 191–202.CrossRefGoogle Scholar
  11. Kellam, S. G., & Anthony, J. C. (1998). Targeting early antecedents to prevent tobacco smoking: Findings from an epidemiologically based randomized field trial. American Journal of Public Health, 88(10), 1490–1495.PubMedCentralPubMedCrossRefGoogle Scholar
  12. Leung, T. W., Yu, S. C., & Wong, K. S. (2011). Have medical therapy and stenting been fairly compared? A repercussion upon termination of recruitment in the SAMMPRIS trial. International Journal of Stroke, 6(4), 312–314.PubMedCrossRefGoogle Scholar
  13. Li, Y., Gail, M. H., Preston, D. L., Graubard, B. I., & Lubin, J. H. (2012). Piecewise exponential survival times and analysis of case-cohort data. Statistics in Medicine, 31(13), 1361–1368.PubMedCrossRefGoogle Scholar
  14. Maclure, M. (1990). The case-crossover design: A method for studying transient effects of brief exposures on the risk of rare acute events. American Journal of Epidemiology, 132(4), 781–782.Google Scholar
  15. Mansoor, E., Morrow, C. E., Accornero, V. H., Xue, L., Johnson, A. L., Anthony, J. C., et al. (2012). Longitudinal effects of prenatal cocaine use on mother-child interactions at ages 3 and 5 years. Journal of Developmental and Behavioral Pediatrics, 33(1), 32–41.PubMedCentralPubMedCrossRefGoogle Scholar
  16. Mortimer, J. A. (2012). The Nun Study: Risk factor for pathology and clinical-pathologic correlations. UK: Current Alzheimer Research. PMID: 22471869.Google Scholar
  17. O’Brien, M. S., Comment, L. A., Liang, K. Y., & Anthony, J. C. (2012). Does cannabis onset trigger cocaine onset? A case-crossover approach. International Journal of Methods in Psychiatric Research, 21(1), 66–75.PubMedCrossRefGoogle Scholar
  18. Redelmeier, D. A., & Tibshirani, R. J. (1997). Association between cellular-telephone calls and motor vehicle collisions. New England Journal of Medicine, 336(7), 453–458.PubMedCrossRefGoogle Scholar
  19. Sanders, S. J., Murtha, M. T., Gupta, A. R., Murdoch, J. D., Raubeson, M. J., Willsey, A. J., et al. (2012). De novo mutations revealed by whole-exome sequencing are strongly associated with autism. Nature, 485, 237–241. doi: 10.1038/nature10945.PubMedCentralPubMedCrossRefGoogle Scholar
  20. Szklo, M., & Nieto, J. (2007). Epidemiology: Beyond the basics. Sudbury, MA: Jones & Bartlett.Google Scholar
  21. Thompson, M., Williams, J., Naleway, A., Li, D. K., Chu, S., Bozeman, S., et al. (2011). The pregnancy and influenza project: Design of an observational case-cohort study to evaluate influenza burden and vaccine effectiveness among pregnant women and their infants. American Journal of Obstetrics and Gynecology, 204(6 Suppl 1), S69–S76.PubMedCrossRefGoogle Scholar
  22. Wadsby, M., Sydsjo, G., & Svedin, C. G. (2001). Evaluation of an intervention programme to support mothers and babies at psychosocial risk: Assessment of mother/child interaction and mother’s perception of benefit. Health and Social Care in the Community, 9(3), 125–133.PubMedCrossRefGoogle Scholar
  23. Warner, L., Macaluso, M., Austin, H. D., Kleinbaum, D. K., Artz, L., Fleenor, M. E., et al. (2005). Application of the case-crossover design to reduce unmeasured confounding in studies of condom effectiveness. American Journal of Epidemiology, 161(8), 765–773.PubMedCrossRefGoogle Scholar
  24. Weinstein, S. J., Yu, K., Horst, R. L., Parisi, D., Virtamo, J., & Albanes, D. (2011). Serum 25-hydroxyvitamin D and risk of lung cancer in male smokers: A nested case–control study. PLoS ONE, 6(6), e20796. doi: 10.1371/journal.pone.0020796.PubMedCentralPubMedCrossRefGoogle Scholar
  25. Wu, L. T., & Anthony, J. C. (2000). The use of the case-crossover design in studying illicit drug use. Substance Use & Misuse, 35(6–8), 1035–1050.CrossRefGoogle Scholar
  26. Zandi, P. P., Anthony, J. C., Hayden, K. M., Mehta, K., Mayer, L., Breitner, J. C., et al. (2002). Reduced incidence of AD with NSAID but not H2 receptor antagonists: The Cache County Study. Neurology, 59(6), 880–886.PubMedCrossRefGoogle Scholar
  27. Zandi, P. P., Breitner, J. C., & Anthony, J. C. (2002). Is pharmacological prevention of Alzheimer’s a realistic goal? Expert Opinion on Pharmacotherapy, 3(4), 365–380.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Epidemiology & BiostatisticsMichigan State UniversityEast LansingUSA

Personalised recommendations