Now, let us calculate the False/Error Rates of the SLR test when compared against the gold standard MRI test results (1). The false positive rate of the SLR test (Type I error) is calculated as the ratio between the number of negative MRI results wrongly determined as positive results by the SLR test and the total number of negative MRI results. The false negative rate of the SLR test (Type II error) is … Continue reading False/Error Rates
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
