Reference and change period lengths over 15 years are adequate in size to overcome natural variability and still have stationarity in the climate change signal within the periods.
These data are very promising, and they require a new investigation with higher statistical power and increased sample size to overcome the internal limitations of the study.
The repeated measurement in this instance, however, was only used as a device to increase the sample size, (to overcome the relatively small number of students in the second year of the medical course).
For malaria infection, wild-infected samples could be used, but this introduces variables such as mosquito age, host preference, and survival that, at best, demand larger sample size to overcome the noise, and at worst could introduce spurious results.
Effective weak selection on codon usage requires a sufficient effective population size to overcome the effects of genetic drift [although see Hershberg and Petrov (2008), who point out that selection on codon usage may not be always be weak].
Although evaluating BMLs on 3D DESS sequences would enable a time- and cost-efficient method to assess changes in BMLs and cartilage on the same sequences, our results indicate that a study doing so may require a larger sample size to overcome the lack of sensitivity for measuring BMLs, especially those of larger volume, and decreased correlations with pain.
These new types of studies typically need large sample sizes to overcome the multiple testing challenges caused by the huge number of interrogated genetic variants.
However, studying a more homogenous sub-population will require (i) even larger overall sample sizes to overcome increased multiplicity and stratification, and (ii) more detailed data on phenotype, lifestyle and environmental factors.
Further research is needed to replicate these findings with people with mild to moderate dementia, with larger sample sizes to overcome the limitations of the current trial.
Likely, this was because such algorithms require much larger training set sizes to overcome the added complexity of the model due to greater dimensionality and redundancy of the predictor set.
The variability of RTD 40 and EMG 41 measures in the very initial phase of the contraction (30 50 ms) is an important consideration when examining temporal adaptations in explosive torque characteristics, requiring large sample sizes to overcome the inherent variability.
