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Short and long term analyses can be conducted, the latter with endogenous investment choices.
Further data, especially long term analyses generated from human clinical trials, are required to assess the risk of integrating vectors.
Results from the long term analyses are discussed below and provided in appendix table A8.
The continuously growing number of patients and practices has the potential to facilitate detailed long term analyses of co- and multimorbidity.
As mentioned above, the CONTENT project is the first approach in Germany based on episodes of care and ICPC that facilitates detailed long term analyses of co- and multimorbidity.
Rates per unit of time, rather than number of events, were deemed the most appropriate outcome measure for long term analyses as they incorporate the duration of the trials, which was variable.
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Short-term and long-term analyses are presented in this study.
In long-term analyses, relevant elements are for instance the longevity of trees and wood-based products, and the decomposition rate of deadwood.
Whereas a stable station is used as a fixed point in conventional analyses, it is difficult to find a stable point in the case of long-term analyses.
Forest landscape disturbance and succession models have become practical tools for large-scale, long-term analyses of the cumulative effects of forest management on real landscapes.
Third, approximate long-term analyses using a contribution coefficient and short-term analysis are performed for an efficient long-term analysis.
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