Biostats Flashcards

1
Q

Odds ratio for these study designs.

A

Case-control studies.

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2
Q

Cohort studies are ___.

A

prospective

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3
Q

Cohort studies are appropriate for estimating ____ and ____.

A

Incidence and relative risk.

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4
Q

A specified patient population is studied at a given time.

A

Cross-sectional study design.

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5
Q

Measure of this can be obtained with a cross-sectional study.

A

Prevalence.

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6
Q

Treatments are allocated to different subjects or patients in a random or nonrandom manner.

A

Parallel design.

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7
Q

Each subject receives or undergoes a series of treatments of each treatment condition being studied.

A

Cross-over design.

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8
Q

Unintentional, systematic error that threatens the internal validity of a study.

A

Bias.

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9
Q

LOE for high-quality research trials, RCTs.

A

Level I.

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10
Q

LOE of cohort studies or lesser quality clinical trials.

A

Level II.

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11
Q

LOE for case-control studies.

A

Level III.

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12
Q

LOE for case series.

A

Level IV.

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13
Q

LOE for expert opinion.

A

Level V.

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14
Q

Proportion of existing cases or conditions of injuries or disease within a particular population.

A

Prevalence.

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15
Q

Proportion of new injuries or disease cases within a specified time period.

A

Incidence.

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16
Q

Sensitivity definition.

A

True positives divided by total number of patients with disease.

17
Q

Specificity definition.

A

True negative divided by total number of patients without the disease.

18
Q

Positive predictive value definition.

A

True positives divided by total patients whose test result was positive.

19
Q

Negative predictive value definition.

A

True negatives divided total patients whose test results were negative.

20
Q

Nonparametric equivalent of ANOVA.

A

Kruskal-Wallis test.

21
Q

The probability that a statistical test result is wrong when the null hypothesis is rejected.

A

Type I error (alpha error).

22
Q

The probability that a statistical test result is wrong when the test fails to reject the null hypothesis.

A

Type II error (beta error).