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Differences between studies include varied study designs, sample sizes, inclusion of other known genetic modifiers (ie. sickle cell), and differences in the malaria phenotype being assessed.
A Cochrane review by Mangesi et al [ 22] included 3 trials that tested strategies of routine kick counting, but varied study designs precluded outcome pooling (Additional file 1).
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We also varied study design and pedigree structure in our simulations to see how sample size and proportion of causal variants (PCV) to non-causal variants (NCV) affect the power of test statistics and to provide practical guidelines for sampling.
Effect sizes varied by study design but not generally by other study characteristics, such as the demographic variables of the participants in the studies.
Results suggest small (Hedges' g = .38, 95% CI = .11 –.64) to large (Hedges' g = 1.32, 95% CI = .61 – 2.02) effect sizes for mindfulness- and acceptance-based treatments, which varied by study design.
Statistical methods varied with study design.
The results for fruit juice varied by study design.
These studies varied in study design, the time intervals assessed and the outcomes reported.
The included studies varied in study design, patient population, intervention, setting and time of study, preventing quantitative synthesis.
We pooled data from six different studies, which varied in study design, population characteristics, geography, and calendar year.
However, the latter finding was not consistent; the estimates varied by study design and geographic region.
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