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A cost consequences analysis was undertaken in which costs are reported alongside the multiple outcomes which were investigated.
Ordinal regression is a classification algorithm that deals with data with multiple outcomes, which models the probability of observing a positive outcome by using a sigmoid function: p = h (x ) = 1 1 + e - β x, where βx denotes the product of vectorized coefficients and factors.
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We collected information on multiple related outcomes, which allowed us to judge the plausibility of any genetic findings by assessing their consistency.
Unfortunately, many investigators find it difficult to ascertain which SES measures are valid, which can be applied to multiple outcomes, and which measure is the most effective with a specific condition.
Finally, this study has multiple outcome measures, which makes it possible to investigate other direct effects of Mindlight on anxiety-related symptoms (e.g. depressive symptoms) of the participating children.
Whilst several outcome measures are needed to capture the impact of a disorder like CTS on the individual, the use of multiple outcome measures which address the same domain such as motor function should be avoided as it places an unnecessary burden on the patient and clinician.
It's also in keeping with the human research outcomes, which have linked sugar to multiple pathological pathways leading to diabetes, heart attacks, strokes, hypertension, cancer, obesity, fatty liver disease and death from heart disease.
After taking multiple tests students return to class reporting dismay at their outcomes which register an appalling vulnerability to a variety of implicit assumptions.
The Bonferroni adjustment will be made for multiple comparisons and multiple outcomes for those analyses in which it is appropriate.
A more appropriate comparative study would need to account for multiple outcomes including linear growth, for which micronutrient supplementation alone has not proven effective in several studies [ 57- 60].
As workers contributed multiple outcomes, we applied frailty models, which included a random employee-specific multiple of the baseline hazard, to adjust for the expected correlation of responses within the same worker.
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