7.7 – Chapter 7 – References
References and suggested readings
Accad, M., & Francis, D. (2018). Does evidence based medicine adversely affect clinical judgment?. BMJ: British Medical Journal (Online), 362.
Agresti A, Coull BA (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 DA (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 CLL, Kristoffersen DT, Montori VM, Herrin J, Schünemann HJ, Treweek S, Akl EA, Oxman AD (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 HT, Crombie IK, Tavakoli M. (1998) When can odds ratios mislead? BMJ 316: 989-991
Decker RC (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 GR, Gower BA (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 MW (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-xpm-1995-11-16-mn-3794-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/SS197, 8.
Youden, W. J. (1950). Index for rating diagnostic tests. Cancer, 3(1), 32-35.