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Principles of Clinical Epidemiology

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Abstract

Broadly, epidemiology studies the distribution and determinants of health (or disease)-related states at the population-level. This chapter introduces readers to key concepts in clinical epidemiology, applying epidemiologic reasoning and methods to clinical medicine. This includes the role of descriptive epidemiology in medicine and important methods in analytic epidemiology such as common study designs, principles of defining exposures and outcomes, an overview of measures, and sources of bias that can threaten internal validity. Not only does this chapter cover principles that are important whether one is designing a study involving prospective data collection or utilizing existing data, but will also aid in the interpretation of existing research and the published medical and scientific literature.

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References

  1. Tsochatzis E, Bosch J, Burroughs A. Liver cirrhosis. Lancet. 2014;383(9930):1749–61.

    Article  Google Scholar 

  2. Njei B, Rotman Y, Ditah I, Lim J. Emerging trends in hepatocellular carcinoma incidence and mortality. Hepatology. 2015;61(1):191–9.

    Article  Google Scholar 

  3. Liaw Y, Sung J, Chow W, Farrell G, Lee C, Yuen H, et al. Lamivudine for patients with chronic hepatitis B and advanced liver disease. N Engl J Med. 2004;351(15):1521–31.

    Article  CAS  Google Scholar 

  4. Wacholder S, McLaughlin J, Silverman D, Mandel J. Selection of controls in case-control studies. Am J Epidemiol. 1992;135(9):1019–28.

    Article  CAS  Google Scholar 

  5. Jiang Z, Feldbrügge L, Tapper E, Popov Y, Ghaziani T, Afdhal N, et al. Aspirin use is associated with lower indices of liver fibrosis among adults in the United States. Aliment Pharmacol Ther. 2016;43(6):734–43.

    Article  CAS  Google Scholar 

  6. Maclure M, Mittleman A. Should we use a case-crossover design? Annu Rev Public Health. 2000;21(1):193–221.

    Article  CAS  Google Scholar 

  7. Gatto N. Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias. Int J Epidemiol. 2004;33(5):1014–24.

    Article  Google Scholar 

  8. Sitas F, Thompson M. A role for the ecological study in the developing world. S Afr Med J. 1993;83:753–6.

    CAS  PubMed  Google Scholar 

  9. Moher D, Liberati A, Tetzlaff J. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med. 2009;151(4):264–9. W64.

    Article  Google Scholar 

  10. Yang H, Lu S, Liaw Y, You S, Sun C, Wang L, et al. Hepatitis B e antigen and the risk of hepatocellular carcinoma. N Engl J Med. 2002;347(3):168–74.

    Article  CAS  Google Scholar 

  11. Greenland S, Senn S, Rothman K, Carlin J, Poole C, Goodman S, et al. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016;31(4):337–50.

    Article  Google Scholar 

  12. Szklo M, Nieto F. Epidemiology: beyond the basics. 3rd ed. Burlington, MA: Jones & Bartlett Learning; 2014.

    Google Scholar 

  13. Sainani K. Propensity scores: uses and limitations. PM&R. 2012;4(9):693–7.

    Article  Google Scholar 

  14. Baiocchi M, Cheng J, Small D. Instrumental variable methods for causal inference. Stat Med. 2014;33(13):2297–340.

    Article  Google Scholar 

  15. Schneeweiss S. Sensitivity analysis and external adjustment for unmeasured confounders in epidemiologic database studies of therapeutics. Pharmacoepidemiol Drug Saf. 2006;15(5):291–303.

    Article  Google Scholar 

  16. MacMahon B, Yen S, Trichopoulos D, Warren K, Nardi G. Coffee and cancer of the pancreas. N Engl J Med. 1981;304(11):630–3.

    Article  CAS  Google Scholar 

  17. Feinstein A, Horwitz R, Spitzer W, Battista R. Coffee and pancreatic cancer. The problems of etiologic science and epidemiologic case-control research. JAMA. 1981;246(9):957–61.

    Article  CAS  Google Scholar 

  18. Sainani K, Popat R. Understanding study design. PM&R. 2011;3(6):573–7.

    Article  Google Scholar 

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Acknowledgments

We would like to thank Renee Miller for her editorial assistance with this book chapter.

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Correspondence to Rita Popat .

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Popat, R., Simard, J. (2019). Principles of Clinical Epidemiology. In: Wong, R., Gish, R. (eds) Clinical Epidemiology of Chronic Liver Diseases. Springer, Cham. https://doi.org/10.1007/978-3-319-94355-8_1

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  • DOI: https://doi.org/10.1007/978-3-319-94355-8_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94354-1

  • Online ISBN: 978-3-319-94355-8

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