Optimizing cut-off values — Flashcards

Flashcard 1: _____ is the probability that when the disease is present, the test is positive

Answer: Sensitivity

Flashcard 2: Specificity values approaching 100% is desirable for ruling _____ disease (in or out)

Answer: IN

Flashcard 3: _____ is the probability that when the test is positive, the disease is present

Answer: Positive predictive value

Flashcard 4: Positive LR > _____ is an indicator of a very useful diagnostic test

Answer: 10

Flashcard 5: _____ ratios can be multiplied with pretest odds of disease to estimate posttest odds

Answer: Likelihood

Flashcard 6: Under Hardy-Weinberg conditions, what is the expected frequency of an X-linked recessive disease in males? Females?

Answer: males - q females - q2 (if condition is survivable)

Flashcard 7: coefficient of determination (r2) (biostatistics)

Answer: Proportion of the variance in the dependent variable that is predictable from the independent variable. Range: 0 to 1 (It is the square of the Pearson correlation coefficient r)

Extra: Example: If r = 0.6, then r² = 0.36. This means 36% of the variation in variable Y is explained by its linear relationship with variable X.

Flashcard 8: Pearson's correlation coefficient (r) (biostatistics)

Answer: measure of linear correlation -1 is perfect inverse relationship 1 is perfect direct relationship

Flashcard 9: What is the Chi-square (X2) test used for? (biostatistics)

Answer: compare proportions of categorical outcomes between two groups (not comparison of means!)

Flashcard 10: Which parameters, sens/spec or PPV/NPV are affected by prevalence of the disease in the population?

Answer: PPV/NPV