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7.7: Chapter 7 References and Suggested Readings

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    Accad, M., & Francis, D. (2018). Does evidence based medicine adversely affect clinical judgment?. BMJ: British Medical Journal (Online), 362.

    Agresti, A., Coull, B. A. (1998). Approximate Is Better than “Exact” for Interval Estimation of Binomial Proportions. The American Statistician, 52:119-126.

    Altman, D. G. (1998). Confidence intervals for the number needed to treat. BMJ, 317(7168), 1309-1312.

    Bender, R. (2001). Calculating confidence intervals for the number needed to treat. Controlled clinical trials, 22(2), 102-110.

    Berry, D. A. (2008). The science of doping. Nature 454(7205):692-3.

    Bewick, V., Cheek, L., Ball, J. (2003). Statistics review 8: Qualitative data – tests of association. Critical Care, 8:46-53.

    Carling, C. L. L., Kristoffersen, D. T., Montori, V. M., Herrin, J., Schünemann, H. J., Treweek, S., Akl, E. A., Oxman, A. D. (2009). The Effect of Alternative Summary Statistics for Communicating Risk Reduction on Decisions about Taking Statins: A Randomized Trial. PLoS Medicine, 6(8): e1000134

    Davies, H. T., Crombie, I. K., Tavakoli, M. (1998). When can odds ratios mislead? BMJ, 316: 989-991

    Decker, R. C. (2008). A brief review of the basic principles of epidemiology, Chapter 2 in Field Epidemiology, 3rd edition, Gregg MB editor. Oxford University Press

    de Vrieze, Jop. (2018) The metawars. Science 361: 1184-1188.

    Fisher, G., Hunter, G. R., Gower, B. A. (2012). Aerobic exercise training conserves insulin sensitivity for 1 yr following weight loss in overweight women. J. Appl. Physiol., 112, 688-693.

    Galinsky, A. M., Zelaya, C. E., Barnes, P. M., & Simile, C. (2022). Selected health conditions among native Hawaiian and Pacific Islander adults: United States, 2014. Cancer, 23, 2.

    Gerstman, B. B. (2014). Basic biostatistics: Statistics for public health practice, 2nd ed. Jones & Bartlett Learning.

    Gigerenzer, G. (2002). Calculated Risks: How to Know When Numbers Deceive You. Simon & Schuster.

    Gray, M. W. (2002). Cramming for court: teaching statistics to litigators. ICOTS6: The Sixth International Conference on Teaching Statistics.

    Hastings, D/. (2003). The Challenger Disaster. https://ocw.mit.edu/courses/engineering-systems-division/esd-10-introduction-to-technology-and-policy-fall-2006/readings/challenger.pdf.

    Johnson, K. M. (2017). Using Bayes’ rule in diagnostic testing: a graphical explanation. Diagnosis, 4(3), 159-167.

    Krebs, J. R. (2014). Risk, uncertainty and regulation. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 369: 4842-52. PMID 22042900 DOI: 10.1098/rsta.2011.0174

    Leucuta, D. C., Călinici, T., Drugan, T., Istrate, D., & Achimas, A. (2014). Graphical User Interface Extension in R Commander for Evidence Based Medicine Indicators. Applied Medical Informatics., 35(3), 11-16.

    LIPID Study Group (1998). Prevention of Cardiovascular Events and Death with Pravastatin in Patients with Coronary Heart Disease and a Broad Range of Initial Cholesterol Levels. NEJM, 339:1349-1357.

    Masic, I., Miokovic, M., & Muhamedagic, B. (2008). Evidence based medicine–new approaches and challenges. Acta Informatica Medica, 16(4), 219.

    Maugh, T.H., II. (1995, November 16). Anti-Cholesterol Drug Cuts Heart Attacks, Study Shows : Health: Pravastatin reduced risks for healthy men, research finds. Experts predict new era in prevention. Los Angeles Times, Retrieved from https://www.latimes.com/archives/la-...794-story.html.

    Park, D. I., Ryu, S., Kim, Y. H., Lee, S. H., Lee, C. K., Eun, C. S., & Han, D. S. (2010). Comparison of guaiac-based and quantitative immunochemical fecal occult blood testing in a population at average risk undergoing colorectal cancer screening. American Journal of Gastroenterology, 105(9), 2017-2025.

    Parikh, R., Parikh, S., Arun, E., Thomas, R. (2009). Likelihood ratios: Clinical application in day-to-day practice. Indian Journal of Opthamology 57(3): 217–221.

    Rice, B., Janssen, I., Hudson, R., Ross, R. (1999). Effects of aerobic or resistance exercise and/or diet on glucose tolerance and plasma insulin levels in obese men. Diabetes Care 22:684-691

    Schechtman, E. (2002). Odds ratio, relative risk, absolute risk reduction, and the number needed to treat—which of these should we use?. Value in health, 5(5), 431-436.

    Sibbald, B., & Roland, M. (1998). Understanding controlled trials. Why are randomised controlled trials important? BMJ 316(7126), 201.

    Skolbekken, J. A. (1998). Communicating the risk reduction achieved by cholesterol reducing drugs. BMJ, 316(7149), 1956-1958.

    Smits, N. (2010). A note on Youden’s J and its cost ratio. BMC medical research methodology, 10(1), 1-4.

    Sylvester, R. J., Canfield, S. E., Lam, T. B., Marconi, L., MacLennan, S., Yuan, Y., … & Hernandez, V. (2017). Conflict of evidence: resolving discrepancies when findings from randomized controlled trials and meta-analyses disagree. European urology, 71(5), 811-819.

    Tamhane, A. R., Westfall, A. O., Burkholder, G. A., & Cutter, G. R. (2016). Prevalence odds ratio versus prevalence ratio: choice comes with consequences. Statistics in medicine, 35(30), 5730-5735.

    US Department of Health and Human Services. (2013). Principles of Epidemiology in Public Health Practice, Third Edition: An Introduction to Applied Epidemiology and Biostatistics. Atlanta, Georgia, USA. Available on the website: http://www.cdc.gov/ophss/csels/dsepd/SS1978.

    Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35.


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