Biostatistics Flashcards

1
Q

Specificity and Sensitivity of variant tests

A

highest sensivity at beginning of disease curve (point A)

highest specificity at end of healthy curve (point E)

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2
Q

Alpha value

A

probability of type I error (rejecting a true null hypothesis)

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3
Q

P-value

A

probability of obtaining a result as extreme as the given result while assuming the null hypothesis is true

indicates statistical significance

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4
Q

Confidence intervals

A

chance that the difference between two groups reflects a true difference

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5
Q

Case fatality rate

A

number of fatalities due to specific illness among all individuals with that illness

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6
Q

Standard deviation

A

2 standard deviations = 95% if normal distribution

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7
Q

Odds ratio

A

AxD/BxC

(A/B)/(C/D)

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8
Q

ANOVA

A

compare means of 2 independent groups. will yield p-value but more difficult than t-test

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9
Q

Chi-square test

A

analyze non-continuous data

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10
Q

paired t-test

A

compare means of samples that are correlated (non-independent)

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11
Q

2-sample t-test

A

analyze continuous data from 2 separate samples with normal distribution

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12
Q

1-sample t-test

A

compare mean of single group to particular value (but not 2 groups)

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13
Q

Recall bias

A

occurs in retrospective studies where participants are asked to recall past risk factors

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14
Q

Performance bias

A

treatment that is administered differently at multiple sites

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15
Q

lead-time bias

A

increased survival time due to earlier detection of disease (without a change in disease course)

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16
Q

Skew on distributions

A

Positive skew : meAn > meDian > mOde

17
Q

What increases power of study?

A

increase sample size or increase effect size

18
Q

Cohort study

A

observational study , expansion of case series or cross sectional

provide estimate of incidence of a disease, outcome, or prognosis

strengthens by dissociating exposure from outcome

inefficient for diseases of long latency

19
Q

Accuracy

A

calculated by true positives and true negatives / total

20
Q

Case control study

A

usually retrospective

compares patients w/ dz to those w/o dz

look at past data to determine risk factors or exposure

21
Q

Cross-sectional study

A

observational study measures risk factor and outcome

compares different population groups at a moment in time

can compare multiple variables

does not determine causation

22
Q

Sampling bias

A

occurs in studies that recruit volunteers

23
Q

Expectancy bias

A

occurs when researcher knows which patients are distributed to which groups

researcher draws conclusions that support expected results

24
Q

Measurement bias

A

method of collecting data influences results

25
Q

Hawthorne effect

A

people act differently when they know they are being watched

26
Q

Relative Risk

A

probability of outcome of interest in exposed group / probability of outcome of interest in non exposed group