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Why is the reference interval less useful for analytes with high inter-individual variability?. Because they always indicate disease. Because their values vary significantly between individuals. Because they are not influenced by biological cycles. Because they have no clinical relevance.

Which analyte is known to have low intra-individual and high inter-individual variability?. Creatinine. Iron. Glucose. Cortisol.

What data allows us to update, at the same time, the probability of obtaining a result in a range using previous information?. Reference value of change (RCV). Bayesian data network. Bayesian model. Mixed effects models.

The most important advantage of this method is that it's widely tested and proven, and therefore widely used and well-known. What is it?. Classic model. Mixed effects models. Bayesian model. Indirect methods. Big data.

Which has multiple applications in various fields of the clinical laboratory, such as internal control of the analytical process, external quality assurance programs?. Bayesian model. Reference value change and delta check. Biological variation. ROC curve.

Which of the following is a quantitative method?. Urine rapid test. Viral antigen detection. Plasma glucose test. Pregnancy rapid test.

When should validation be done?. Only once. When a new test or equipment is used. Only during inspections. Every year without reason.

What parameter is used to measure biological variability?. Birth rate. Coefficient of variation. Absolute value. Age range.

What is the relationship between standard deviation and coefficient of variation for precision?. The smaller the standard deviation and the smaller the variation, the greater the precision. The larger the standard deviation and the smaller the variation, the greater the precision. The larger the standard deviation and the larger the variation, the greater the precision. The smaller the standard deviation and the smaller the variation, the smaller the precision.

Which of the following best describes systematic error?. It is unpredictable and due to chance alone. It can be expressed as a coefficient of variation. It is a constant deviation between the measured mean and the true value. It occurs only when measurements are repeated under different conditions.

Y What is the correct formula to calculate the total error in an analytical system?. Total error = systematic error + random error. Total error = systematic error + 1.65 + random error. Total error = systematic error + 1.65 × random error. Total error = M met – M int + random error.

There are three phases that help us determine the clinical usefulness of diagnostic tests. Indicate which of the following phases present false negatives after the patient has undergone a new analysis test. Evaluation of the diagnostic validity of the index test. Evaluation of the clinical consequences of introducing a new diagnostic test. Normal values and their potential diagnostic use. Long-term consequences of analytical testing.