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Where a comparison of treatment effects involves the assessment of multiple outcomes, the composition of individual meta-analyses may involve different numbers of studies.
In addition, without regard for multiple outcomes, the study had 80% power to detect a 17% effect of treatment versus placebo with respect to pain modification, as measured by the pain subscale of the WOMAC index (assuming one-sided comparisons, each made at an α value of 0.10, a placebo mean of 160 mm, and a standard deviation of 70 mm).
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Due to the investigation of multiple outcomes and the observational character of the study, there is no issue of statistical power to be considered.
The approach of assessing multiple exposures against multiple outcomes follows the principles of the Multiple Exposure Multiple Effects (MEME) Model [ 31], and aims to provide information that is more relevant to broader policy and program planning than can be achieved through studies focussed on specific exposures and specific outcomes.
The ambiguity created by the possibility of multiple outcomes enables the perception of uku-kura as different from commercial sex work and, as such, less stigmatizing.
To avoid the biasing effect of multiple outcomes within the same study, all meta-analyses on the main outcome of interest (i.e. the prevalence of data fabrication, falsification and alteration) were conducted using only one outcome per study.
These results reinforce the need to test multiple outcomes, and the evaluation should consider systematic approaches to account for the issues, including alternative model specifications and sensitivity analyses.
This work discusses the introduction of multiple outcomes in the coalescence process.
Using the results from these analyses, we tested for the influence of blood lead on multiple outcomes using the Multiple Indicator Mult iple Causes (MIMIC) model under the umbrella of Structural Equations Modeling (SEM).
In contrast, Canonical Correlation Analysis (CCA) has the ability to analyze multiple outcomes at the same time.
These results clearly demonstrate there are multiple outcomes of the different ARJP disease-state mutations in the parkin Ubl domain.
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