Sentence examples for model weighted for from inspiring English sources

Using a model weighted for human mutations, we obtained performance accuracies that outperformed traditional prediction methods (i.e., SIFT, PolyPhen, and PANTHER) on two separate benchmarks.

Using a model weighted for human mutations, we obtained performance accuracies that outperformed traditional prediction methods SIFT, PolyPhen, and PANTHER on two separate benchmarks.

In our previous work, we developed the Functional Analysis through Hidden Markov Models (FATHMM) software and, using a model weighted for inherited disease mutations, observed improved performances over alternative computational prediction algorithms.

Also, adjustment for a large number of covariates via a regression model weighted for a propensity score did not substantially attenuate this finding (2.25, 1.11 to 4.54, P=0.024).

Using a model weighted for cancer-associated mutations, we observe performance accuracies, which outperform alternative computational prediction algorithms (Adzhubei et al., 2010; Capriotti and Altman, 2011; Ng and Henikoff, 2001; Reva et al., 2011) when distinguishing between driver and other germ line mutations (both disease-causing and neutral polymorphisms).

In our previous work, we developed the Functional Analysis through Hidden Markov Models (FATHMM) algorithm and, using a model weighted for inherited disease mutations, observed improved performance accuracies over alternative computational prediction methods using the same benchmark (Shihab et al., 2013).

The association between each health condition and dementia progression was evaluated using univariate and multivariate (age, gender and education) logistic regression models (weighted for attrition) in the NCI, MCI and OCIND groups.

In sensitivity analyses, a similar pattern of attenuation of regional NO2 effect estimates was observed in models weighted for time at school and home (results not shown), and in models adjusted for total (freeway plus nonfreeway) TRP exposure at school and home [Supplemental Material, Table E-2 (doi:10.1289/ehp.0901232)].

The FHP average treatment effect estimates obtained with the propensity score matching analysis and the FHP rate ratio estimates obtained with the fixed effects negative binomial regression models weighted for the propensity score performed as further analyses of the robustness of the results—are similar and confirm the findings of the study.

Model weighted averages for recapture parameters for total individuals, males and females were 0.010±0.010, 0.0138±0.0053 and 0.017±0.006, respectively.

These results were used to compute the average phylogenetic reconstruction as the consensus of the ML trees for every model weighted with their AIC weight (Posada 2008).