These results should assist the design of SNP- rather than microsatellite-based studies to detect population structure in a larger collection of rainbow trout.
Many of the previous studies to detect gene clustering were based on bioinformatic analysis of genome annotation.
Thus, in sibling based studies that fail to detect a significant association between exposure and outcome, it is particularly important to evaluate whether this was simply due to lack of power that is, an imprecisely estimated null hazard ratio value of 1.
This experimental design was based on a previous study to detect local SST impact (Takahashi et al. 2015b).
The sample size for the study was based on the larger study to detect the 20%% reduction in perinatal mortality with statistical power of 80%% and level of significance at 5%% [ 12].
The sample size considerations were based on the ability of the study to detect a ten point difference between the care navigator and usual care arms.
Sample size estimates are based on the ability of the study to detect changes in the primary outcome measure, rate of major complications.
Since the patient characteristics were different in each included study, we performed a stratified analysis based on the location of the study to detect the role of ENE in penile cancer.
Based on previous studies we powered the study to detect among herd sero-prevalence (p) of 92.9 % [ 14].
However, several population based studies have also detected significantly higher chlamydia prevalences in adolescent girls than in same-aged boys [ 6- 9].
There are a number of studies that use different graph based features to detect anomalies.
