Abstract
In this overview, we go over the principal concepts of epidemiology and statistics that are tested regularly in rheumatology board exams. It helps distinguish key type of variables that rheumatologists come across, which are categorical and continuous variables. The chapter also covers measures of central tendency—mean, median, as well as mode. Additionally, it covers distribution of data, which includes standard deviation and interquartile range. Types of study design including case-control, cohort, as well as randomized controlled trials are categorized in detail. Fundamental epidemiological theories including incidence, prevalence, sensitivity, specificity, positive predictive value, negative predictive value, number needed to treat, number needed to harm, and odds ratio are defined, and basic formulas and calculations are described. Furthermore, this chapter describes a few important types of biases that are usually tested on boards. All of these concepts help rheumatologists to read, understand, and apply scientific literature to evidence-based clinical practice.
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References
Reginster JY, et al. Long-term effects of glucosamine sulphate on osteoarthritis progression: a randomised, placebo-controlled clinical trial. Lancet. 2001;357(9252):251–6.
Mayya SS, Monteiro AD, Ganapathy S. Types of biological variables. J Thorac Dis. 2017;9(6):1730–3.
Manikandan S. Measures of dispersion. J Pharmacol Pharmacother. 2011;2(4):315–6.
Cervera R, et al. Morbidity and mortality in the antiphospholipid syndrome during a 10-year period: a multicentre prospective study of 1000 patients. Ann Rheum Dis. 2015;74(6):1011–8.
Thiese MS. Observational and interventional study design types; an overview. Biochem Med (Zagreb). 2014;24(2):199–210.
Altman DG, Bland JM. Diagnostic tests. 1: sensitivity and specificity. BMJ. 1994;308(6943):1552.
Altman DG, Bland JM. Statistics notes: diagnostic tests 2: predictive values. BMJ. 1994;309(6947):102.
Appel GB, et al. Mycophenolate mofetil versus cyclophosphamide for induction treatment of lupus nephritis. J Am Soc Nephrol. 2009;20(5):1103–12.
Rothman KJ, Greenland S, Lash TL. Modern epidemiology. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008.
Cook RJ, Sackett DL. The number needed to treat: a clinically useful measure of treatment effect. BMJ. 1995;310(6977):452.
Szumilas M. Explaining odds ratios. J Can Acad Child Adolesc Psychiatry. 2010;19(3):227–9.
Jones RB, et al. Mycophenolate mofetil versus cyclophosphamide for remission induction in ANCA-associated vasculitis: a randomised, non-inferiority trial. Ann Rheum Dis. 2019;78(3):399–405.
Oczkowski SJW. A clinician’s guide to the assessment and interpretation of noninferiority trials for novel therapies. Open Med. 2014;8(2):e67–72.
Vavken P. Rationale for and methods of superiority, noninferiority, or equivalence designs in orthopaedic, controlled trials. Clin Orthop Relat Res. 2011;469(9):2645–53.
Piaggio G, et al. Reporting of noninferiority and equivalence randomized trials: an extension of the CONSORT statement. JAMA. 2006;295(10):1152–60.
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Mehta, B. (2020). Clinical Epidemiology in Rheumatology. In: Efthimiou, P. (eds) Absolute Rheumatology Review. Springer, Cham. https://doi.org/10.1007/978-3-030-23022-7_2
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DOI: https://doi.org/10.1007/978-3-030-23022-7_2
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