Frequency measures Flashcards

1
Q

Each row is called a ____

contains information about one individual

A

“record” or “observation.”

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2
Q

Each column is called a ____

contains information about one characteristic such as race or date of birth

A

“variable.”

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3
Q

In epidemiology, many nominal variables have only two possible categories:
alive or dead
case or control
exposed or unexposed …… Such variables are called ___

A

dichotomous variables

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4
Q

The frequency measures we use with dichotomous variables are ___

A

ratios, proportions, and rates = (x/y) x 10^n

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5
Q

In a ___ , the values of x and y may be completely independent, or x may be included in y.

A

ratio

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6
Q

A ___ , the second type of frequency measure used with dichotomous variables, is a ratio in which x is included in y

A

proportion

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7
Q

The third type of frequency measure used with dichotomous variables, ___ , is often a proportion, with an added dimension

A

rate = (# of cases or events during a given time period) / (population at risk during the same time period) x 10^n

It measures the occurrence of an event in a population over time.

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8
Q

The ___ rate expresses the probability or risk of illness in a population over a period of time.

A

incidence rate = (new cases occurring during a given period of time) / (pop. at risk during the same time period) x 10^n

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9
Q

___ rate, is the proportion of persons in a population who have a particular disease or attribute at a specified point in time or over a specified period of time.

A

prevalence (presence of a disease) = (all new & pre-existing cases during a given time period) / (population during the same period of time) x 10^n

prevalence (of an attribute) = (persons having a particular attribute during a given time period) / (population during the same period of time) x 10^n

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10
Q

How much of a particular disease is present in a population at a single point in time.

A

Point prevalence

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11
Q

How much of a particular disease is present in a population over a longer period.

A

Period prevalence

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12
Q

Attack rate formula ?

A

A.R = (# of new cases among the population during the period) / (pop. at risk at the beginning of the period) x 100

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13
Q

Secondary attack rate formula?

A

S.A.R = (# of cases among contacts of primary cases during the period) / (total # of contacts) x 10^n

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14
Q

A ___ ___, or ___ ___, compares the risk of some health-related event such as disease or death in two groups.

A

risk ratio or or relative risk = (risk for grp. of primary interest) / (risk for comparison grp.) x 1

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15
Q

risk ratio of 1.0 indicates?

A

A risk ratio of 1.0 indicates identical risk in the two groups.

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16
Q

risk ratio greater than and less than 1.0 indicates?

A

A risk ratio greater than 1.0 indicates an increased risk for the numerator group, while a risk ratio less than 1.0 indicates a decreased risk for the numerator group.

“How much more likely”

17
Q

Odds ratio formula?

A

Odds ratio (cross-product ratio) looks at increased odds of getting a disease with exposure to a risk factor versus non exposure to that factor .

OD = ad/bc

18
Q

When the health outcome is uncommon, the ___ ___ provides a good approximation of the relative risk.

A

odds ratio

19
Q

A ___ ___ is a measure of the frequency of occurrence of death in a defined population during a specified interval.

A

mortality rate = (deaths occurring during a given time period) / (size of pop. among which deaths occurred) x 10^n

20
Q

case-fatality rate formula?

A

C-F rate= (# of cause specific deaths among the incident cases) / (# of incident cases) x 10^n

Case-fatality rate is a proportion and requires that the deaths in the numerator be limited to the cases in the denominator.

21
Q

Specific rate formula?

A

SR = (all events in specified subpopulation) / (specified subpopulation) x multiplier

22
Q

Adjusted rates?

A
  • Rates calculated to minimize demographic differences between populations being compared.
  • Adjustment improves the validity of the comparison.

eg.
- The rate of alcoholism and alcohol abuse is found to be higher among workers in an automobile assembly plant compared with same-age workers at a textile mill in the same city.
- Adjustment for gender differences is warranted.