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This frequency is lower than the 30-40% expected prevalence for mutations in this gene.
However, the model predicts slightly lower than expected prevalence for the general population.
The size of the random animal sample was calculated using an estimated 5% (± 3%) expected prevalence for sheep and goats, and 5% (± 4%) for bovine.
The sample size was determined using single population proportion formula assuming an expected prevalence for timely initiation of breast feeding of 50% with a finite population correction.
This study was powered to estimate prevalence of vitamin D deficiency in the healthy female population with a 5%% error margin at the 95%% confidence level, using algorithms published by Lwanga and Lemishow [ 9]; assuming an expected prevalence for vitamin D deficiency of 80%% in Lahore [ 10], we calculated that a total of n = 247 participants would need to be recruited.
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Therefore more knowledge on expected prevalences for E. multilocularis in infected populations of different species is desirable to reduce residual uncertainty of the results.
For all six autoimmune diseases considered here, the prevalence in the Mid-Ohio Valley conformed broadly with that expected from the U.S. and Western European populations, although expected prevalences for some of these diseases are uncertain (Cooper et al. 2009).
To assess a direct interaction between helminth and helminth co-infections, and between helminth and asymptomatic Plasmodium parasitaemia co-infections we calculated observed and expected prevalences for co-infections [ 54].
The sample size was based on the expected prevalence of seropositivity for anti-HCV according to data from blood donors by macro-region [ 23].
Sample size for each region was determined by allowing for 1 % error in the expected prevalence of 10%%, and settled for both urban and rural areas, separately [ 12].
For an expected prevalence of <10%, a sample size of 2401 hypertensive diabetic patients was estimated for a 95% confidence interval (CI) and an error of 1.2%.
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