Sentence examples for predictors with different from inspiring English sources

Aside that, the diversity of sequence predictors with different sequence property measure (sequence conservation, secondary structures, globularity, complexity) also allow for a multi-dimensional coverage of fold-critical residues.

For those predictors with different relationships according to glycaemia treatment group, lower education was associated with an increased risk for HMA in both groups, but to a greater degree in the standard treatment group (HR 1.74, 95% CI 1.02 to 2.95) than in the intensive treatment group (HR 1.38, 95% CI 1.06 to 1.81).

The heterogeneity of predictors associated with different patterns of alcohol use highlights the need to consider unique risk profiles and alcohol-use trajectories according to exposure to different risk and protective factors.

Thermodynamic related features are considered by all four online predictors but with different calculation methods.

This effectively represents five sub-analyses on the same predictors but with different outcomes, there is a risk of Type II error, where a significant association between drug combinations (i.e. regression coefficients with p values less than 0.05) is found purely by chance because of the number of sub-analyses conducted.

Pulmonary embolism severity index (PESI) as an example of clinical model which was designed in 2005, which comprises 11 routinely available clinical predictor variables with different prognostic weights.

In ranking the importance of variable, we adopted the conditional importance in random forest [ 16] and Variance Importance in Projection in Partial Least Squares [ 17], to avoid bias generated due to use of predictor variables with different scales and variable collinearity in our dataset.

For the multivariable analyses, multiple Cox proportional hazards regression models were employed to estimate hazard ratios and 95% confidence intervals for the associations of the smoking related predictors with the three different cardiovascular outcomes.

To characterize the temporally evolving BOLD signal change in response to a stimulus, a general linear model (GLM) is applied, and coefficient parameters (beta) are estimated by fitting a GLM with different predictors for each stimulus block.

To examine how prescription drug access and use of prescription cost-saving measures changed after Medicare Part D was implemented and to determine their predictors in Medicare beneficiaries with different insurance types.

AIC values were used to compare these models with different predictors but the same outcome, with lower values of AIC indicating a better model fit.