2. LEARNING OBJECTIVE
• To explore the concept of absolute risk.
• To introduce and compare relative risk and odds ratio as
measures of association between an exposure and a
disease.
• To calculate and interpret a relative risk in a cohort study.
• To calculate and interpret an odds ratio in a cohort study and
in a case-control study and to describe when the odds ratio is
a good estimate of the relative risk.
• To calculate and interpret an odds ratio in a matched-pairs
case-control study.
5. ABSOLUTE RISK
• The incidence of a disease in a population is termed as the
absolute risk.
• Indicates the magnitude of the risk.
• Does not indicate whether the exposure is associated with an
increased risk of the disease.
• Does not stipulate any explicit comparison ; but implicit
comparison.
6. HOW TO DETERMINE ASSOCIATION BETWEEN
DISEASE AND EXPOSURE
• Eg:-Results of an investigation of a foodborne disease
outbreak.
• Suspect foods were identified ;
• For each food, the attack rate of the disease for those who
ate the food(exposed)
• The attack rate for those who didn’t eat the food(unexposed)
7. HOW TO DETERMINE ASSOCIATION BETWEEN
DISEASE AND EXPOSURE
• To determine whether an
excess risk is associated with
each of the food items?
One approach is----
• Calculate the ratio of the attack
rate in ‘exposed’ to the attack
rate in ‘unexposed’, for each
food.
• As shown in the column C of
the following table-
9. HOW TO DETERMINE ASSOCIATION BETWEEN
DISEASE AND EXPOSURE
• Alternate approach---
• As shown in column D
• Subtract the risk in the
‘unexposed’ from the risk
in ‘exposed’.
• The difference represents
the excess absolute risk in
those who were exposed.
Thus an excess risk can be
calculated as :
The ratio of risks(or of
incidence rates) :
Disease risk in exposed/
Disease risk in unexposed
The difference in the
risks(or in the incidence
rates) :
(Disease risk in exposed)
– (Disease risk in
unexposed)
10. DIFFERENCE IN BOTH THE WAYS OF
CALCULATION
Does the method that we choose to
calculate excess risk make any
difference?
Another example-Two communities, A
and B.
Incidence if a disease in exposed in A
is 40% ; In unexposed-10%
Ratio of the rates= 4.0
Difference in incidence
rates=30%.
Similarly in B- Ratio -> 90/60=1.5
11. RELATIVE RISK
• Both case control and cohort studies designed to determine if
there is an association between exposure and disease.
• As per Cohort study, question would be-
• Relative risk = Risk in exposed/Risk in unexposed
• It can also be defined as
• Probability of an event occurring in exposed people
compared with the probability of the event in unexposed
people ; as the ratio of these two probabilities.
12. INTERPRETING THE RELATIVE RISK
• If the Relative risk = 1
• No evidence for any increased risk in exposed
individuals .
• If Relative risk >1
• Evidence of positive association , which may
be causal.
• If Relative risk <1
• Evidence of negative association ; protective
effect.
• People who are given an effective vaccine
16. RELATIVE RISK : EXAMPLE
• This Fig shows the data based on merging 2,282 middle aged men followed for 10yrs
in the Framingham study
• 1,838 middle aged men followed for 8years in Albany, New York.
• Data relate smoking, cholesterol level, BP to risk of Myocardial Infarction and Death
from CHD.
• The value of 1 is assigned to the LOWEST of the risk ; other risks are calculated
relative to this figure.
• Left pic- shows risk in non smoker with low cholesterol level(set to be as 1)
• Both smoking and elevated cholesterol levels contribute to the risk of MI and death
from CHD.
• Right pic- Comparable analysis of BP and smoking
17. ODDS RATIO(RELATIVE ODDS)
• In a Case-Control study , Incidence of disease in exposed or
in unexposed is not known because
• We start with diseased people(cases) and non diseased
people(control).
• Relative risk cannot be calculated directly; but Odds Ratio.
• OR can be obtained from either of the study(cohort/case
control study)
18. ODDS RATIO(RELATIVE ODDS)
Proportion of the cases exposed and the proportion of controls who were exposed.
19. ODDS RATIO(RELATIVE ODDS)
Odds = Probability that Epi Beauty will win the race/ Probability that Epi
Beauty will lose the race
P=Probability that Epi will win the race.
1-p= Probability that Epi Beauty will lose the race.
Odds =p/1-p
Probability of winning=60%
Odds of winning=60%/40%= 1.5