Further study in a large scale sample size is needed.
The future study would perform clinical trials on a larger scale sample size, and as a comparison study among conventional and 3D printed casts to assess whether clinical differences were statistically significant.
Identifying loci conferring susceptibility to osteoarthritis will require large-scale sample sizes and well-defined phenotypes to minimise heterogeneity.
Large-scale sample sizes and well-defined phenotypes will be required to gain a better understanding of this genetic component, possibly leading to optimising treatment, developing efficacious disease-modifying interventions, improving prognosis and tailoring intervention to the individual.
Additionally, sensitivity analyses according to various exclusion criteria (full-text article, large-scale trials (sample size >100), patients with pre-existing renal impairment or chronic kidney disease, elective or urgent surgery, and only elective surgery) were also conducted.
Therefore, the CTM-3 can be used as a substitute for the CTM-15 when administration burden is a concern or in large-scale studies where large sample sizes can compensate its suboptimal reliability.
17 Condom use in extramarital relationships is understudied mainly because large-scale surveys with large sample sizes are needed to obtain adequate data for meaningful analysis, and few such studies are available in Africa.
One has been towards larger and larger sample sizes.
However, genotyping at this fine scale requires large sample sizes to provide the statistical power needed to differentiate the candidate causal SNPs from the non-causal SNPs.
The major concern is that the majority of studies initially screen small sample sizes without validation by large-scale samples.
This means increasing our precision to every additional decimal point we can muster; this means going to higher energies, lower temperatures, smaller distance scales, and larger sample sizes; this means pushing outside of the known range of a theory's validity; this means theorizing new observables and devising novel experimental methods.
