However, deployment of biotelemetry equipment on free-living animals incurs risk of damage or loss, which can result in high cost and low sample sizes.
Although coefficients of variation of estimated detection probability (ˆp) and cluster size (ˆE(S)) were higher at low sample sizes, they dropped to <15% with n > 40 detections.
We had difficulty in compliance with our third morning sample (60 min post-awakening), which resulted in low sample sizes for this sampling time point.
Therefore, sampling was challenging, which was reflected in our low sample sizes and consequently, we were limited in the types of statistical analyses we could conduct.
Omitting islands with low sample sizes also reduced the potential influence of specimens that may have erroneous locality data.
We combined markers using approaches that did not require statistical fitting because of the low sample sizes.
There is also a clear impact of the number of elements in the amplitude of the resulting confidence intervals, with larger amplitudes for low sample sizes.
Furthermore, studies on this disease have been difficult to evaluate and replicate due to low sample sizes non-reporting of risk effect estimates.
The lack of congruence between previous studies may also be due to a combination of low sample sizes, variability in animal behavior, and study protocol.
We did not examine the interaction between month and year due to low sample sizes and thus were unable to estimate variation in patterns between years.
Due to low sample sizes and partially untargeted sampling, the probability of detection of infected animals was low for most intervals and bird species.
