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Our search strategy was designed to identify a sample of effectiveness trials conducted in health services settings and a large number of eligible published trials may not have been identified potentially limiting the generalisability of the results.
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The cost-effectiveness acceptability cure based on 5000 samples of cost-effectiveness ratio is presented in Figure 2B.
So although our sample showed a range of effectiveness it was biased towards 'the winners'.
14 Many now claim that it is unethical to conduct a clinical trial with an insufficient sample size, as inferences of effectiveness may be insufficient to make clinical recommendations.
While this study cannot be generalized due to volunteer bias and a small sample, the effectiveness of a peer support intervention for mothers of preterm infants merits further investigation in a randomized controlled trial.
In this sample, the effectiveness of HAART was shown by an increase in CD4+ cell count, which is a major predictor of costs, and a greater proportion of patients with undetectable HIV-RNA.
However, it is important to note that a majority of studies showing evidence of effectiveness used small sample sizes with only two studies [ 22, 28] having large sample sizes, thereby raising questions about the delivery of these interventions to scale.
In the spirit of effectiveness research, the sampling frame was designed to recruit a broadly representative sample of youth with OCD seeking augmentation of SRI partial response, while still including key efficacy elements (e.g., randomization, specified inclusion criteria) to ensure internal validity.
In the spirit of effectiveness research, the sampling frame was designed to recruit a broadly representative sample of moderately to severely ill youth with OCD who are seeking treatment for SRI partial response, while still including efficacy elements, such as randomization and carefully specified in/exclusion criteria, which maximize internal validity (see Table 1, Table 2).
As in other studies on this topic, the relatively small sample size may have prevented differentiation of effectiveness among steroid treatments.
The third measure of sampling effectiveness was vulnerability bias — the extent to which reserves have been dedicated in parts of the region with most risk of vegetation loss.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com