However, the main advantage of utilizing a prior model for the fraction defective is not necessarily reduced sample size but improved assessment of the true sampling risks.
For this reason, the analysis may not be based on only the complete data on both time and causes of failures (with reduced sample size, which is random).
However, low numbers reduced sample size in two lines (17, 95) in generations one and two.
The need for immediate data collection reduced sample size, while random dialling potentially limited response rate.
Stratifying the population by age and survey further reduced sample size.
However, the considerably reduced sample size after exclusion of incomplete questionnaires may suggest reduced power of the reported outcomes.
For factor VII and von Willebrand factor, reduced sample size limited our ability to exclude a small effect.
Despite the resulting reduced sample size we could safely reject the secondary admixture model in favor of the model of isolation with migration (log10Bayes factor ~ 22).
Using the same restriction as for Table 3, Additional file 5: Table S4 compares geocoding methodologies adjusting for covariates, which reduced sample size further.
The reduced sample size reduces the statistical power of any association, so the results are at best suggestive and require independent confirmation.
Due to the reduced sample size, however, these results are not statistically significant (Supplementary Figure S4).
