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Moreover, though the application of a local FRR from Uganda improved the plausibility of the assay-derived incidence estimate for both Kenya and Uganda, the wide confidence intervals around the estimates made it difficult to interpret these findings.
This pooled sequencing approach has improved the plausibility of association studies for rare variants, while, at the same time, posed a great challenge to the pooled sequencing data analysis, essentially because individual sample identity is lost, and NGS sequencing errors could be hard to distinguish from low frequency alleles.
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Developing hydrodynamic models and using them to build coupled hydrologic-hydrodynamic models can potentially improve the plausibility of PMF estimations.
Multiple imputation procedures can improve the plausibility of the missing at random (MAR) assumption when a greater number of observed variables that account for, or are associated with, the reason for missing-ness are incorporated into the model [ 48, 49].
Thus, the KS test diagnostic has not been helpful for detecting models that we would expect to perform worse; it may even be producing smaller p-values for models that we expect to perform better, such as those that include additional variables that improve the plausibility of the MAR assumption [ 15].
The discussion of the results shows that coupling hydrologic and hydrodynamic models substantially improves the physical plausibility of PMF modelling, although both modelling approaches lead to PMF estimations for the catchment outlet that fall within a similar range.
However, to improve the statistical plausibility and provide a better fit with the models used, the ordered categories were reversed from one (very bad) to five (very good) during the analysis.
The ability to integrate resistance and serotype data with case-specific demographic and risk-factor data improves the generalizability and plausibility of our study and provides population-level risk estimates (14 – 20 ).
Drawing on the identified shortcomings and gaps of the regulatory framework and practice, concrete recommendations are made which could improve the transparency of the review process and the quality and plausibility of the examination of the universal service scope.
Validation of a model is a scientific method to improve the confidence in a model, i.e. to evaluate its plausibility and consistency.
The objective of this work was to review and systematise methods to improve geomorphic plausibility of DEMs and minimise artefacts and outliers in terrain parameters.
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