This article reviews the current sample size requirements for studies evaluating the efficacy of atrial therapies.
However, given the current sample size, it is unlikely that clinical meaningful associations would not have been detected.
The current sample size raised a precision of 0.30, and an increase of the number of traps to 37 would be needed to achieve the desirable precision of 0.25.
However, a bigger sample might likely lead to different results and would allow the investigation of the statistical significance of the results, which with the current sample size was not possible.
However, a post hoc power analysis indicated that the current sample size of 35 patients is powered to detect 35% absolute difference in mortality rate, with a type I error of 0.05 and a power of 80%.
To ensure that the current sample size of 100 was enough for all models to obtain adequate power and precision of parameter estimates, we conducted Monte Carlo studies following Muthén and Muthén (2002; see In'nami and Koizumi 2013, for concrete procedures).
It also remains possible that we do not have sufficient statistical power with the current sample size to detect statistical significance, although this is unlikely for the observed lack of association of INSIG2 in the Caucasian subset.
The power analysis shows that with the current sample size (n = 36), the population effect size is 0.56 with the statistical power of 0.90 (α = 0.05, two-tailed testing).
Although it is not possible to make conclusive statements regarding the slightly higher average ω in cattle vs. buffalo parasites given the current sample size, it is interesting to speculate that it might be the result of more recently imposed selection associated with adaptation to a new host in evolutionary terms, relative to the buffalo.
The current sample size has only a 29% power to detect a similar effect size.
Possibly the current sample size limits the capacity to determine this association.
