ERIC: Common Measures & Stats Flashcards

1
Q

Measures of Frequency (ERIC)

A

1 of 4 common epi measures

how often something occurs

(not a proportion like in bio)

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2
Q

3 common frequency measures (ERIC)

A
  1. risk/”incidence”
  2. rate/”incidence rate”
  3. prevalence
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3
Q

Risk/”incidence” forumula (ERIC)

A

1 of 3 common frequency measures

of new cases this year/total population this year = part:whole of cases this year

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4
Q

Another name for risk/”incidence”

A

attack rate…which isn’t actually a rate gah! (is also know as…)

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5
Q

Risk/”incidence” definition (ERIC)

A

1 of 3 common frequency measures

probability of an unaffected person developing a health outcome/dx, during a given time period

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6
Q

“Incidence rate” definition (ERIC)

A

1 of 3 common frequency measures

describes how quickly a health outcomes is moving through a population in terms of # of cases and person-time

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7
Q

“Incidence rate” formula (ERIC)

A

1 of 3 common frequency measures

of NEW cases/total amount of time that each participant in a study contributed to the study

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8
Q

Prevalence definition (ERIC)

A

1 of 3 common frequency measures

proportion of population that already has a dx/health outcome

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9
Q

Prevalence formula (ERIC)

A

1 of 3 common frequency measures

of affected individuals/total populations

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10
Q

Measures of Association (ERIC)

A

1 of 4 common epi measures

used to compare relationships/impacts between various specific exposures and health outcomes

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11
Q

Measures of Significance (ERIC)

A

1 of 4 common epi measures

p-value (usually 0.5) threshold used to determine whether an association between an exposure and health outcome valid or just d/t chance

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12
Q

Measures of Precision (ERIC)

A

1 of 4 common epi measures

shows how precise data measurements are

(by using confidence intervals (ranges of uncertainty) to express the variability in means, risks ratios, rate ratios, odds ratios, etc calculated for a study)

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13
Q

4 types of Measures of Association (ERIC)

A
  1. risk difference
  2. risk ratio
  3. rate ratio
  4. odds ratio
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14
Q

Risk difference formula

A

1 of 4 types of measures of association

(# of cases in exposed group/total # at risk in exposed group)/(# of cases in control group/total # at risk in control group)

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15
Q

Risk ratio formula

A

1 of 4 types of measures of association

RATIO of risk in exposed group : risk in unexposed/control group

Ratio > 1 = exposure has harmful effect
Ratio < 1 = exposure has protective effect

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16
Q

Rate ratio formula

A

1 of 4 types of measures of association

RATIO of the RATE in exposed group : Rate in unexposed/control group

Ratio > 1 = exposure has harmful effect
Ratio < 1 = exposure has protective effect

17
Q

Odds ratio formula

A

1 of 4 types of measures of association

18
Q

Risk difference definition

A

1 of 4 types of measures of association

aka “attributable risk”; compares risk differentials between groups to show how much risk is d/t an exposure under investigation

19
Q

Risk ratio definition

A

1 of 4 types of measures of association

describe/measure the strength of an association between an exposure and a health outcome (in terms of risk)

20
Q

Rate ratio definition

A

1 of 4 types of measures of association

describe/measure the strength of an association between an exposure and a health outcome (in terms of rate)

21
Q

Odds ratio definition

A

1 of 4 types of measures of association

an approximation of risk ratio or rate ration for the purposes of use in cohort studies (allowing researchers to generalize results to broader populations?)

22
Q

2 possible outcomes of risk difference assessment

A
  1. Positive difference- exposure in question confers higher risk of a specific health outcome
  2. Negative difference- exposure in question confers protective effect against a specific health outcome
23
Q

Null value

A

A risk, rate, and/or odds ratio value to suggests the exposure in question has not effect on/association with health outcome at all.

Usually equals 1.0 but thresholds are set based on the nature of the study

24
Q

Null hypothesis

A

proposes that there is no association between an exposure and health outcome under question

25
Q

Confidence Interval

A

method for expressing uncertainty; large/wide intervals bad, small/tight intervals good

involves a range of plausible values for the measure of an association (i.e. between and exposure and a health outcome)

26
Q

Point estimate

A

research/statistics jargon

a specific value used to estimate a mean, standard deviation, etc for a population characteristic under investigation

i.e. risk ratio, rate ratio, or odds ratio

27
Q

Parameter

A

research/statistics jargon

a measurable characteristic of a population, such as a mean or a standard deviation

28
Q

2 common types of epi measurement estimates (ERIC)

A
  1. crude values

2. adjusted values

29
Q

Crude estimates

A

1 of 2 common types of epi measurement estimates

involves raw numbers/counts w/o nuance (such as differences between different sub-pops within the counted pop)

30
Q

Adjusted estimates

A

1 of 2 common types of epi measurement estimates

involves making adjustments to raw numbers/counts so that the impact of differences sub-pops within the counted pop can be accounted for)