The phrase "accurate sample size" is correct and usable in written English.
It can be used when discussing research methodology, statistics, or data collection, emphasizing the importance of having a sample size that accurately represents the population being studied.
Example: "To ensure the validity of our findings, we need to determine the accurate sample size for our survey."
Alternatives: "correct sample size" or "appropriate sample size".
Accurate sample size estimation will be important to an efficient and economical study design.
This can be an expensive undertaking and it is important that an accurate sample size is identified.
The sample size was determined a priori because no studies were available to calculate an accurate sample size.
This in turn will enable accurate sample size calculation in the design phase of a study and thus adequate power to test hypotheses [ 18].
First, there might have been sampling bias since all participants were recruited from a single hospital and accurate sample size for this study was not calculated.
3) To explore the feasibility and accurate sample size to inform the design and implementation of future large scale clinical trial.
The major obstacle of such kind of work is that the heterogeneity makes it difficult to design statistical tests and to give an accurate estimated sample size.
Combined with accurate physical sample size or spike-in measurements, absolute expression may be estimated (Mortazavi et al., 2008), but that is a separate issue that we will not discuss here.
Jensen's Inequality would lead one to predict that even when the estimates of the vital rates are accurate, small sample sizes will lead to biased estimates of λ as a result of increased sampling variance.
Even unbiased estimates of vital rates do not ensure unbiased estimates of λ Jensen's Inequality implies that even when the estimates of the vital rates are accurate, small sample sizes lead to biased estimates of λ due to increased sampling variance.
Although the identifications of pressure ulcers based on clinician-researchers directly examined patients meant estimates are accurate, the sample sizes tend to be relatively small and involve only a single facility, making generalizability uncertain, such that the type of anesthesia had broad confidence interval possibly due to the small number of local anesthesia.
