Sentence examples for resources the sample size from inspiring English sources

Considering resources, the sample size was estimated using a single proportion sample size formulae by considering the following parameters: prevalence of TB among adult pulmonary TB suspects of 29% [6], 95% CI, and 4% of margin of error and 10% for the non-response rate.

Based on the large number of variables of interest and the availability of resources, the sample size was planned to be 8200.

Besides, because limitations of time, financial and human resources, the sample size for a test-retest reliability testing was quite small, and the sample size for the CFA is not big as well.

Due to the limited funding resource, the sample size of this study is relatively small, which may not allow for the observation of some pregnancy outcomes e.g. rate of preterm birth and low weight birth, rate of gestational diabetes, rate of preeclampsia, and other birth outcomes.

Second, in contrast to previous research in low resource settings, the sample size of this study is comparatively larger making the results more credible [ 56, 59].

A disadvantage to using a standardised interview schedule is that it is resource intensive, limiting the sample size achievable.

The size of the virtual population was determined considering limits in computational resources and estimates of the sample size required to detect a difference in MACE incidence at 5 years with a power of 0.9.

On one hand, when the available resource is limited and the sample size of a given category (class) is small, classifiers based on the OVR partition of the data set potentially suffer from severe over-fitting, leading to low predictive ability and robustness.

Thus, the conclusions depend on a factor completely unrelated to the reality studied (i.e. the available resources, which in turn determine the sample size) [ 13, 14].

Although detailed resource use data were collected, the sample size was calculated on the basis of expected clinical outcomes and not on the cost analysis and reported in Serfaty et al [ 12].

The objective is to increase the standardization and collaboration between these various prospective study resources to meet goals of increasing the sample size and statistical power for multi-factorial risk analyses of infrequent outcomes.