BiostatisticsQuiz2 Flashcards

1
Q

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

A

Type II error (β error)

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2
Q

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

A

Specificity

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3
Q

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

A

Sensitivity

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4
Q

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

A

Confidence interval

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5
Q

In which of the following study designs can incidence be calculated?

Cross-Sectional

Ecological Study

Cohort Study

Case Report

Case-Control Study

A

Cohort Study

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6
Q

Which of the following is an example of a categorical variable?

Age

Body Mass Index

Weight (kg)

Gender

Height (cm)

A

Gender

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7
Q

Which of the following is an example of a continuous variable?

Systolic blood pressure (mmHg)

Blood Type

Sex

Occupation

Race

A

Systolic blood pressure (mmHg)

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8
Q

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

A

Positive Predictive Value

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9
Q

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

A

Loss in net sensitivity and net gain in specificity

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10
Q

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

A

Net gain in sensitivity and net loss in specificity

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