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The main components of the landscape in the Holocene, tufas, vegetation, and human intervention are analyzed from published references and our work on tufa.
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The effectiveness of the intervention was analyzed in this study.
When only the data of employees who showed an abnormal value before the intervention were analyzed, the prevalence of hyper-cholesterolemia in the intervention and control groups after intervention differed significantly (p = 0.04) at 41.7% and 77.3%, respectively.
Changes in the variables after the intervention were analyzed using Wilcoxon's signed-rank sum test.
The intervention was analyzed from a single-subject design perspective, which is conceived based on the need to define whether an experimental manipulation has had any effect on the individual participating in the investigation.
The differences within the treatment group before and after the intervention were analyzed using the t-test statistic, with p-values calculated using 5000 permutations.
Differences between values after 12-week intervention were analyzed in Stata 9.2 (Stata ™, Texas) using a mixed model analysis of covariance with treatment (lignan or placebo) and period (first or second period) as fixed factors, subjects as random factors, and baseline measurements as covariates.
At least three independent biological replicates per intervention were analyzed.
Time and treatment effects of the intervention were analyzed.
Predictors of willingness to take pharmaceutical intervention were analyzed.
Finally, the cost-effectiveness of the intervention is analyzed in terms of medical and non-medical costs.
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