Descriptive Prevalence Study based on effect size and absolute precision
Data Input: (Help) (Example)
Input
Results
£\
p
N
DEFF
d
Variables
Descriptions
Probability of type I error
Prevalence proportion
Estimated Effect Size (Usually 1-4)
Desired level of absolute precision
Required sample size
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Application: This section illistrates how to determine the minimum sample size for a one proportion cross sectional study.
Procedure:
a) Value of £\, the two-sided confidence level
b) Proportion for disease
c) DEFF (Effect Size)
d) d (Absolute precision)
a) sample size
Formulae:
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Example
Example 1: Assuming that we have population proportion of 0.5 and DEFF of 1. What is the desired sample size when using 5% absolute precision with 95% level of significance?
£\ = 0.05
p = 0.5
DEFF = 1
d=0.05
N = 1.9602*0.5*0.5*1 / 0.052= 385