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In this section, the true positive and negatives rates of diagnosing a disease using a clinical test (eg., SLR) compared against a gold standard test (in this instance, MRI) will be calculated. Let us use the following data from a peer-reviewed article for our analysis (1). In this study, the patients who had lumbar MRI grades 2 to 5 (gold standard criteria) were considered having the disease. Now, let … Continue reading True Rates
Pre-test Probability: It is defined as the probability of a patient having the suspected disease before application of a diagnostic test. Determining the pre-test probability is the first step in making a clinical diagnosis. Pre-test Odds: It is defined as the odds that a patient has the suspected disease before application of a diagnostic test. References: Šimundić, A.M., 2009. Measures of diagnostic accuracy: basic definitions. EJIFCC, … Continue reading Pre-test Probability
Diagnostic accuracy measures the likelihood that a test will correctly classify an individual, calculated as the sum of true positives and true negatives divided by the total number of individuals tested. This measure reflects a weighted average of sensitivity and specificity, where sensitivity is adjusted by the prevalence of the condition in the study population, and specificity is adjusted by the complement of the prevalence. … Continue reading Diagnostic Accuracy
