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Name – Alok Kumar
Grp – 09
Sem – 9th
Topic – Measures Of Association
MEASURES OF ASSOCIATION
• The key to epidemiologic analysis is comparison. Occasionally you might observe an incidence rate
among a population that seems high and wonder whether it is actually higher than what should be
expected based on, say, the incidence rates in other communities. Or, you might observe that, among
a group of case-patients in an outbreak, several report having eaten at a particular restaurant. Is the
restaurant just a popular one, or have more case-patients eaten there than would be expected? The
way to address that concern is by comparing the observed group with another group that represents
the expected level.A measure of association quantifies the relationship between exposure and
disease among the two groups. Exposure is used loosely to mean not only exposure to foods,
mosquitoes, a partner with a sexually transmissible disease, or a toxic waste dump, but also inherent
characteristics of persons (for example, age, race, sex), biologic characteristics (immune status),
acquired characteristics (marital status), activities (occupation, leisure activities), or conditions under
which they live (socioeconomic status or access to medical care).The measures of association
described in the following section compare disease occurrence among one group with disease
occurrence in another group. Examples of measures of association include risk ratio (relative risk), rate
ratio, odds ratio, and proportionate mortality ratio.
RISK RATIO
• Definition
• A risk ratio (RR), also called relative risk, compares the risk of a health event (disease, injury, risk factor,
or death) among one group with the risk among another group. It does so by dividing the risk
(incidence proportion, attack rate) in group 1 by the risk (incidence proportion, attack rate) in group 2.
The two groups are typically differentiated by such demographic factors as sex (e.g., males versus
females) or by exposure to a suspected risk factor (e.g., did or did not eat potato salad). Often, the
group of primary interest is labeled the exposed group, and the comparison group is labeled the
unexposed group.Method for Calculating risk ratio
• The formula for risk ratio (RR) is:
• A risk ratio of 1.0 indicates identical risk among the two groups. A risk ratio greater than 1.0 indicates
an increased risk for the group in the numerator, usually the exposed group. A risk ratio less than 1.0
indicates a decreased risk for the exposed group, indicating that perhaps exposure actually protects
against disease occurrence.
RATE RATIO
• A rate ratio compares the incidence rates, person-time rates, or mortality rates of two groups. As with the risk ratio, the two
groups are typically differentiated by demographic factors or by exposure to a suspected causative agent. The rate for the
group of primary interest is divided by the rate for the comparison group.
• ( Rate ratio =Rate for group of primary interest / Rate for comparison group )
• The interpretation of the value of a rate ratio is similar to that of the risk ratio. That is, a rate ratio of 1.0 indicates equal rates in
the two groups, a rate ratio greater than 1.0 indicates an increased risk for the group in the numerator, and a rate ratio less
than 1.0 indicates a decreased risk for the group in the numerator.
ODDS RATIO -
• Odds ratioAn odds ratio (OR) is another measure of association that quantifies the
relationship between an exposure with two categories and health outcome. Referring to
the four cells in Table 3.15, the odds ratio is calculated as
• where
• a =number of persons exposed and with disease
• b = number of persons exposed but without disease
• c = number of persons unexposed but with disease
• d = number of persons unexposed: and without disease
• a+c = total number of persons with disease (case-patients)
• b+d = total number of persons without disease (controls)
• The odds ratio is sometimes called the cross-product ratio because the numerator is
based on multiplying the value in cell “a” times the value in cell “d,” whereas the
denominator is the product of cell “b” and cell “c.” A line from cell “a” to cell “d” (for
the numerator) and another from cell “b” to cell “c” (for the denominator) creates an
x or cross on the two-by-two table.
• The odds ratio is the measure of choice in a case-control study (see Lesson 1). A case-
control study is based on enrolling a group of persons with disease (“case-patients”)
and a comparable group without disease (“controls”). The number of persons in the
control group is usually decided by the investigator. Often, the size of the population
from which the case-patients came is not known. As a result, risks, rates, risk ratios or
rate ratios cannot be calculated from the typical case-control study. However, you can
calculate an odds ratio and interpret it as an approximation of the risk ratio, particularly
when the disease is uncommon in the population.
THANK YOU !

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Alok Kumar (Grp 09) Measures Of Association.pptx

  • 1. Name – Alok Kumar Grp – 09 Sem – 9th Topic – Measures Of Association
  • 2. MEASURES OF ASSOCIATION • The key to epidemiologic analysis is comparison. Occasionally you might observe an incidence rate among a population that seems high and wonder whether it is actually higher than what should be expected based on, say, the incidence rates in other communities. Or, you might observe that, among a group of case-patients in an outbreak, several report having eaten at a particular restaurant. Is the restaurant just a popular one, or have more case-patients eaten there than would be expected? The way to address that concern is by comparing the observed group with another group that represents the expected level.A measure of association quantifies the relationship between exposure and disease among the two groups. Exposure is used loosely to mean not only exposure to foods, mosquitoes, a partner with a sexually transmissible disease, or a toxic waste dump, but also inherent characteristics of persons (for example, age, race, sex), biologic characteristics (immune status), acquired characteristics (marital status), activities (occupation, leisure activities), or conditions under which they live (socioeconomic status or access to medical care).The measures of association described in the following section compare disease occurrence among one group with disease occurrence in another group. Examples of measures of association include risk ratio (relative risk), rate ratio, odds ratio, and proportionate mortality ratio.
  • 3. RISK RATIO • Definition • A risk ratio (RR), also called relative risk, compares the risk of a health event (disease, injury, risk factor, or death) among one group with the risk among another group. It does so by dividing the risk (incidence proportion, attack rate) in group 1 by the risk (incidence proportion, attack rate) in group 2. The two groups are typically differentiated by such demographic factors as sex (e.g., males versus females) or by exposure to a suspected risk factor (e.g., did or did not eat potato salad). Often, the group of primary interest is labeled the exposed group, and the comparison group is labeled the unexposed group.Method for Calculating risk ratio • The formula for risk ratio (RR) is:
  • 4. • A risk ratio of 1.0 indicates identical risk among the two groups. A risk ratio greater than 1.0 indicates an increased risk for the group in the numerator, usually the exposed group. A risk ratio less than 1.0 indicates a decreased risk for the exposed group, indicating that perhaps exposure actually protects against disease occurrence.
  • 5.
  • 6.
  • 7. RATE RATIO • A rate ratio compares the incidence rates, person-time rates, or mortality rates of two groups. As with the risk ratio, the two groups are typically differentiated by demographic factors or by exposure to a suspected causative agent. The rate for the group of primary interest is divided by the rate for the comparison group. • ( Rate ratio =Rate for group of primary interest / Rate for comparison group )
  • 8. • The interpretation of the value of a rate ratio is similar to that of the risk ratio. That is, a rate ratio of 1.0 indicates equal rates in the two groups, a rate ratio greater than 1.0 indicates an increased risk for the group in the numerator, and a rate ratio less than 1.0 indicates a decreased risk for the group in the numerator.
  • 9.
  • 10. ODDS RATIO - • Odds ratioAn odds ratio (OR) is another measure of association that quantifies the relationship between an exposure with two categories and health outcome. Referring to the four cells in Table 3.15, the odds ratio is calculated as • where • a =number of persons exposed and with disease • b = number of persons exposed but without disease • c = number of persons unexposed but with disease • d = number of persons unexposed: and without disease
  • 11. • a+c = total number of persons with disease (case-patients) • b+d = total number of persons without disease (controls) • The odds ratio is sometimes called the cross-product ratio because the numerator is based on multiplying the value in cell “a” times the value in cell “d,” whereas the denominator is the product of cell “b” and cell “c.” A line from cell “a” to cell “d” (for the numerator) and another from cell “b” to cell “c” (for the denominator) creates an x or cross on the two-by-two table.
  • 12.
  • 13. • The odds ratio is the measure of choice in a case-control study (see Lesson 1). A case- control study is based on enrolling a group of persons with disease (“case-patients”) and a comparable group without disease (“controls”). The number of persons in the control group is usually decided by the investigator. Often, the size of the population from which the case-patients came is not known. As a result, risks, rates, risk ratios or rate ratios cannot be calculated from the typical case-control study. However, you can calculate an odds ratio and interpret it as an approximation of the risk ratio, particularly when the disease is uncommon in the population.