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The deterministic sensitivity analysis indicated that changes in individual model parameters did not alter the conclusion that this is a cost-effective intervention.
A series of one-way sensitivity analyses on parameter values and structural assumptions have been undertaken to test the robustness of model results to changes in individual model parameters while remaining assumptions were held constant.
17 Uncertainty in the estimated incremental cost effectiveness ratios due to sampling uncertainty in the estimated input parameter values was evaluated by employing probabilistic sensitivity analysis in which simulation was used to propagate uncertainty in individual model inputs through the model in order to assess the uncertainty in the outcome of interest, incremental cost effectiveness.
Note, the standard deviation obtained from analyzing multiple macro-samples does not correspond to the fluctuations exhibited in individual model simulations of the system or fluctuations between model simulations, but rather is a measure of experimental uncertainties (e.g., experimental measurement errors and non-identical systems), which are not taken into consideration by the model simulations.
The challenge of linking articles to genes is partially solved for a limited number of model organisms, where dedicated teams of curators scan the literature and link publications to gene records in individual model organism databases such as FlyBase (The FlyBase Consortium, 2003), or through federated multi-organism databases such as Entrez Gene Maglottt et al., 2007).
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Multiregimen drug testing, paired with next-generation sequencing before and after therapy and timed tumor pharmacodynamics enables determination of efficacy, signaling pathway alterations, and mechanisms of sensitivity-resistance in individual models.
In real-time testing, it is practically impossible to quantify the level of noise in individual models because the available case histories are always quite short.
However, uncertainties due to the limitations in individual models still have to be taken into account in order to achieve more reliable evaluations.
For each outcome, all variables with p-values <0.15 in individual models controlling for treatment group were entered into multivariable regression models.
Intake of food groups was analyzed in individual models.
SNP environment interactions that achieved nominal significance (P < 0.10) in individual models were included as candidates in multivariate modeling.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com