BiostatisticsQuiz2 Flashcards
What type of error is made when we fail to reject the null hypothesis when the null hypothesis is false?
Type I error (α error)
Chance error
Type II error (β error)
Confounding
Measurement error
Type II error (β error)
Which characteristic of a diagnostic test is most helpful in ruling-in a disease if the result of the test is positive?
Sensitivity
Specificity
Risk Ratio
Relative Risk
Absolute Risk Reduction
Specificity
Which of the following test characteristics defines a tests ability to correctly identify the presence of disease?
Positive predictive value
Specificity
Negative predictive value
Odds Ratio
Sensitivity
Sensitivity
Which of the following is the most valuable in determining the statistical significance of an effect estimate?
P Value
Odds Ratio
Confidence interval
Relative Risk
Sample Size
Confidence interval
In which of the following study designs can incidence be calculated?
Cross-Sectional
Ecological Study
Cohort Study
Case Report
Case-Control Study
Cohort Study
Which of the following is an example of a categorical variable?
Age
Body Mass Index
Weight (kg)
Gender
Height (cm)
Gender
Which of the following is an example of a continuous variable?
Systolic blood pressure (mmHg)
Blood Type
Sex
Occupation
Race
Systolic blood pressure (mmHg)
The term that describes the percentage of patients who test positive and have the disease is:
Positive Predictive Value
Specificity
Risk Ratio
Absolute Risk Reduction
Relative Risk
Positive Predictive Value
Sequential (two-stage) testing results in which of the following:
There is no change in sensitivity or specificity
Net gain in sensitivity and net loss in specificity
Increase in validity
Loss in net sensitivity and net gain in specificity
Increase in reliability
Loss in net sensitivity and net gain in specificity
Simultaneous testing results in which of the following:
There is no change in sensitivity or specificity
Increase in reliability
Increase in validity
Net gain in sensitivity and net loss in specificity
Loss in net sensitivity and net gain in specificity
Net gain in sensitivity and net loss in specificity