Sentence examples for model univariate sensitivity from inspiring English sources

To evaluate the uncertainty of parameter values and the robustness of the model, univariate sensitivity analyses were performed for each parameter in the model over the ranges.

To evaluate the uncertainty of parameter values and the robustness of the model, univariate sensitivity analyses were performed for each parameter in the model over the ranges shown in Tables 1, 2, 3. Ranges were sourced from reported literatures, such as 95CI% %, or a range±20% of the base case value when reported data were not available.

To reduce the uncertainty of the model assumptions, univariate sensitivity analyses were performed by decreasing values for key parameters in the model.

In order to test the robustness of the model, a univariate sensitivity analysis was undertaken.

SA indicates that the value was imposed on the model for univariate sensitivity analysis.

To evaluate the impact of individual model assumptions, univariate sensitivity analyses were performed on projected prevalence reductions at 15 years with a treatment rate of 10 per 1,000 PWID annually using the point parameter values in Table1.

The results of our study are supported by the robustness of the model evaluated through univariate sensitivity analysis but we acknowledge a small population sample was used to calculate the treatment costs.

These types are Cervical cancer, Cytomegalovirus Retinitis, Cytomegalovirus Other, Coccidiosis, HIV-Dementia, Histoplasmosis, Kaposi sarcoma, visceral, Salmonella sepsis, Cryptosporidium, Progressive multifocal leucoencephalopathy UMCG: university medical center Groningen We assessed the uncertainty in the model parameters through univariate sensitivity analysis.

To assess the impact of uncertainty on the model results, both deterministic univariate sensitivity analysis (SA) and probabilistic sensitivity analysis (PSA) were carried out.

The probabilities used in the model and ranges explored in univariate sensitivity analyses are shown in Table 1[ 17, 17- 22].

In order to explore uncertainties surrounding model projected outcomes, we performed univariate sensitivity analyses, varying key parameter values and assumptions one at a time.