Exam 3 Flashcards

1
Q

List the types of biostatistical tests.

A
  1. T-test
  2. Paired T-test
  3. ANOVA
  4. Chi-square
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2
Q

(X) is the value to look at in order to determine if association exists.

A

X = p-value

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3
Q

(X) is the value to look at in order to determine the direction of an association.

A

X = regression coefficient (if it’s positive or negative)

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4
Q

(X)-values are used to determine (Y)-values, which tell us the significance of an association based on biostat test.

A
X = t
Y = p
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5
Q

T/F: In multiple linear/logistic regression, values should be used only if significant association, based on p-value.

A

False - use even if not significant associatoin

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6
Q

Anytime you want to do a prediction, you should use (X) biostat tool.

A

X = regression (linear or logistic)

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7
Q

Anytime you want to do a prediction with dichotimous outcome, you should use (X) biostat tool.

A

X = logistic regression

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8
Q

You can use logistic regression if the predictor is (continuous/categorical).

A

Either!

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9
Q

Equation for maternal mortality ratio.

A

No. maternal deaths/No. live births

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10
Q

If you’re following a cohort over a period of time (to see if outcome develops, for example), which general type of measure will you be presenting?

A

A rate - any measure with time component is RATE

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11
Q

Loss to follow-up is a form of (X) bias.

A

X = selection

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12
Q

Phenomenon in which a

third variable, that is not associated with both exposure and outcome, modifies their relationship.

A

Effect modification

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13
Q

Phenomenon in which a

third variable, that is associated with both exposure and outcome, modifies their relationship.

A

Confounding

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14
Q

In order to examine relationships while controlling for confounders, we have to use
which statistical method?.

A

Regression

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15
Q

(X) is the probability of a negative result given the presence of disease.

A

X = false negative rate

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16
Q

(X) is the probability of negative test given absence of disease.

A

X = specificity

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17
Q

(X) is the probability of a positive test given presence of disease.

A

X = sensitivity

18
Q

(X) is the probability of getting a positive test result given the absence of disease.

A

X = false positive rate

19
Q

(X) is the probability of disease, given a positive test.

A

X = positive predictive value

20
Q

T/F: Sensitivity and specificity are inherent characteristics of the test.

A

True

21
Q

T/F: Predictive values (pos and neg) are inherent characteristics of the test.

A

False - depend on prevalence too

22
Q

Absolute number of patients who would need to be treated to prevent one instance of the
bad outcome.

A

Number needed to treat

23
Q
Absolute number of patients who would need to be treated for a
bad outcome (ie. side effect) to occur.
A

Number needed to harm

24
Q

When calculating (absolute/relative) risk reduction, you subtract (X) from 1.

A

Relative;

X = Risk ratio/relative risk/incidence ratio

25
Q

Human-made toxic substance in environment is called (toxin/toxicant/contaminant). Give an example.

A

Toxicant

Pesticide

26
Q

Substance that enters system where it’s not usually found is called (toxin/toxicant/contaminant).

A

Contaminant

27
Q

List the four steps of risk assessment process.

A
  1. ID hazard
  2. Dose-response relationship
  3. Assess exposure
  4. Risk characterization
28
Q

EPA sets max (X) levels based primarily on (Y).

A
X = contaminant
Y = health risks
29
Q

In 1970, EPA released (X) Act, which placed limit on:

A

X = clean air

How much pollutant can be in air anywhere in US

30
Q

Since EPA Clear Air Act in 1970, (X) have decreased.

A

X = US Air pollutant emissions

31
Q

Air pollution has major health effects due to (X). The (smaller/larger) (X), the worst, because (Y).

A

X = particulate matter (PM)
Smaller;
Y = enters deep into lungs

32
Q

Decreasing PM (particular matter) decreases deaths from (X).

A

X = heart disease

33
Q

Climate change due to increase in (X), which trap (Y). List some effects of this.

A
X = long-lived greenhouse gases (CO2)
Y = heat

Increase flooding, high-heat days, vector habitat expansion

34
Q

(X)% of F and (Y)% of M experience intimate partner violence.

A
X = 30
Y = 23
35
Q

(Younger/older) individuals at higher risk for intimate partner violence. What are some other risk factors?

A

Younger;

Mental health, poverty, perpetrating violence

36
Q

List some relationship risk factors for intimate partner violence.

A
  1. Martial conflicts/fights
  2. Economic stress
  3. Dominance/control in relationship
37
Q

T/F: There’s a decrease in health care costs in IPV situation, since victim reluctant/forbidden to see health care professional.

A

False - health care costs increase

38
Q

T/F: Homicide, not mass shootings, are major cause of death from guns.

A

False - major cause is suicide, but homicide more frequent than mass shooting

39
Q

T/F: Mass shootings are increasing in frequency.

A

True

40
Q

T/F: It’s never ok to offer payment/compensation to recruit subjects for research.

A

False - it’s fine to certain degree (for time/inconvenience), but not so people willing to take excessive risk