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36 The addition of genetic information did little to alter the accuracy of the phenotype based models when assessed with the Hosmer-Lemeshow test of calibration (table 2).
The inclusion of genetic information in the risk models did not improve the discrimination of cases of type 2 diabetes, and nor did it provide clinically important improvement in the accuracy of these models when assessed by calibration.
First, consistent with the findings of [ 19- 21], the overall classification error rates across the single-gene, gene-set and network methods were comparable, suggesting that more complex models when assessed purely by classification error rates aren't necessarily more accurate.
Our study showed that although the predictive performance of the various approaches was limited, simpler or more parsimonious models, which account for model uncertainty, may perform better than commonly-used stepwise models when assessed with novel, clinically relevant performance measures.
The reduced model was reported as it accounted for the variance in the data better than the full and null models when assessed using R values, AIC values and from examination of QQ, residual and response/fitted values plots.
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These restrictions complicate the use of such models when assessing the distribution of industrial emissions in the atmosphere.
We recommend the use of natural marine bacteria as models when assessing the environmental relevant antibacterial properties of products containing nanosilver.
Also, although some regulatory agencies suggest that researchers consider using middle and low doses for rodent carcinogenicity studies (e.g., the FDA), we recommend that agencies require researchers to use non-linear dose response models when assessing the carcinogenicity of drugs.
The multivariable analyses were repeated with addition of BMI to the models when assessing the relationship between VAT or SAT and inflammatory markers or with the addition of both VAT and SAT to the model when assessing the relationship between BMI and inflammatory markers.
The difference in incremental QALY gain between the CS and VA models when assessing the cost effectiveness of anti-VEGF therapy is potentially significant in healthcare decision making, particularly in decisions close to the cost-effectiveness threshold.
As discussed below, because of the substantial amount of intermodel discrepancy with respect to regional projections, it is common practice to use multimodel ensembles, that is, a set of results from multiple models, when assessing the spatial and temporal aspects of climate projections and forecasts (Collins 2007; Hagedorn et al. 2005; Tebaldi and Knutti 2007; Thomson et al. 2006).
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