Sample Size Calculator: Cohort Study

Based on relative risk precision

Data Input: (Help) (Example)

Input

 

Results

α

 

P1

P2

n

RR

 

N

£`

 

 

 


Note:

Variables

Descriptions

£\

Probability of type I error

P1

Proportion of the exposed group

P2

Proportion of the non-exposed group

RR

Relative Risk

£`

Relative risk precision

n

Sample size for each exposure group

N

Required total sample size



Help Aids Top

Procedure:

  1. Enter

a)    Value of £\, the two-sided confidence level

b)    Proportion for the exposed group

c)    Relative Risk

d)    Relative Risk precision

  1. Click the button ¡§Calculate¡¨ to obtain

a)    The exposed group proportion and the sample size

  1. Click the button ¡§Reset¡¨ for another new calculation

Formulae:

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Notations:

α             The probability of type I error (significance level) is the probability of rejecting the true null hypothesis

P1            The proportion of the exposed group

P2            The proportion of the non-exposed group

RR          The relative risk

£`              The relative risk precision (within x% of the true RR)

n              Required sample size for one of the exposure group

N             Total sample size needed for the cohort study

Examples

Example 1: Suppose an outcome is present in 20% of the unexposed group of a cohort study, with 95% confidence, how large a sample is required for each

of the exposed and unexposed groups in order to estimate the relative risk to within 10% of the true value of 1.75?

P2 = 0.2

P1=(RR)*P2=1.75*0.2=.35

RR=1.75; £`=0.1

n = (1.96)2 * [(0.65/0.35)+(0.8/0.2)]/[ln(1-0.1)]2= 2027

Therefore, 2027 per group of participant is required, which makes a total of 4054 participants needed to be recruited.


Example 2: An epidemiologist is planning a study to investigate the possibility that a certain lung disease is linked with exposure to a recently identified air

pollutant. What sample size would be needed in each of two groups, exposed and not exposed, if the epidemiologist wishes to estimate the relative risk to

within 50% of the true value of 2.0 with 95% confidence? The disease is present in 20% of people who are not exposed to the air pollutant.

P2 = 0.20

P1=(RR)*P2=2.0*0.2=0.40

RR=2.0; £`=0.5

n = (1.96)2 * [(0.60/0.40)+(0.80/0.20)]/[ln(1-0.5)]2= 44

Therefore, 44 per group of participant is required, which makes a total of 88 participants needed to be recruited.


Reference: Lemeshow, S., Hosmer Jr., D.W., Klar, J.,and Lwanga S.K. Adequacy of Sample Size in Health Studies. WHO, 1990. Print.

Lwanga, S.K. and Lemeshow, S. Sample size determination in health studies: A practical manual. WHO, 1991. Print.

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