Biostat/Epi Flashcards

1
Q

What is an attack rate?

A
# of people who contract and illness/ # of people at risk of contracting the illness
IE # of diarrhea cases after eating potato sald/ # of people that ate the potato salad
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2
Q

What is the median?

A

Value in the precise center of a dataset. If there is an even number of values, average the two middle values

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3
Q

How do you calculate relative risk?

A

risk of outcome in the exposed/risk of the outcome in the unexposed
So if 120 out of 400 become symptomatic in the exposed and 100 out of 300 in the unexposed:
(120/400)/(100/300)

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4
Q

What type of study measures exposure and outcome simultaneously at a particular point in time (ie snapshot study)

A

Cross-sectional study
ie. Occurence if a protein in pts with HTN vs those without HTN. Samples taken when pts visited their PCP for routine care

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5
Q

What is an important control measure to prevent rheumatic fever?

A

Early penicillin tx for a case suspicious of group A strep pharyngitis

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6
Q

What is the mode?

A

Most frequently observed data point

Tends to be resistant to outliers

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7
Q

What is odds ratio and how do you calculate?

A

Odds that an outcome occurs based on an exposure

OR = (event in exposed)(no event in unexposed)/ (no event in exposed)(even in unexposed)

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8
Q

Encouraging pt to increase control over their health (ie, exercise more even though you dont have HTN or lipidemia yet) is?

A

Health promotion
Primary prevention
Improve diet, exercise regularly, smoking cessation, lose weight if needed.

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9
Q

What is secondary prevention?

A

Interrupting dz process before pt becomes symptomatic (ie cancer screening)

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10
Q

What is tertiary prevention?

A

Treating an established condition

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11
Q

Precision of a test is also referred to as its?

A

Reliability
Reliable = reproducible
NOT the same as accuracy which is a measure of correctness

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12
Q

What is the purpose of matching patients in case control studies?

A
Control confounding
Matching variables (age race habits) to control confounders.  Cases and controls are then selected based on the matching variables so that both groups have a similar distribution in accordance with the variables.
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13
Q

How do you calculate sensitivity?

A

TP/(TP+FN)

TP/all the people that have the dz

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14
Q

How do you calculate specificity?

A

TN/(TN+FP)

TN/ all the people that don’t actually have the dz

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15
Q

How do you calculate relative risk?

A

Risk in group 1/ Risk in group 2

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16
Q

How do you calculate number needed to harm?

A

1/attributable risk
Attributable risk = the adverse event rates in the treatment and placebo groups
(60/80) - (38/76) 25%
NNH = 1/25

17
Q

What is type 1 error?

A

Falsely concluding that there is a difference

alpha

18
Q

What is a type 2 error?

A

Falsely concluding that there is no difference
Beta error
1-B = power, strengthen with sample size

19
Q

How do you calculate negative predictive value?

A

TN/TN + FN

TN/all negative tests

20
Q

To ensure that investigators will not miss a difference between drug B and TAU, which value should be maximized?

A

Power (1-B)