Sentence examples for removed parameters from inspiring English sources

In our subsequent analyses we removed parameters from the a priori model set whose 95% credible intervals overlapped zero and included the effects of test and remove, hunted elk vs. management captures, and elk population density.

We removed parameters indicative of renal function to discover novel predictors.

We then implemented a backward selection procedure (Conesa et al. 2006) that removed parameters from the full quadratic model with P values > 0.001, a stringent threshold that better enabled us to exclude genes with modestly different temporal trajectories between met1 genotypes, but little to no difference in elevation (i.e., expression levels).

We removed parameter sets in which treatment does not succeed to avoid unfair inclusion of those parameter sets in which the long-term selective pressure of unsuccessful treatment drives resistance.

Just as in the previous example, removing parameters with high correlations does not necessarily improve identifiability.

Observational studies often make use of multi-variable regression techniques to correct for confounders (a common, but incorrect, approach to model-building is to include all measured parameters and then remove parameters on the basis of their p-value).

Its flexible nature allows us to easily remove parameters (e.g. VENINV when either biopsy samples are not available or diagnostic radiography data is not affirmative) or to add new biomarkers (e.g. newly identified gene signatures).

Initially, IIV terms were estimated for all model parameters and then removed from parameters with high η-shrinkage (> 60%).

Nucleotide bases at the 3′ end with a Phred quality score less than 20 (99 % confidence) were removed, with parameters (−f illumina -s 1 -t 1 -e 3 -a min -x 0 -k - c' > =' -q 20).

If one of the ancestors is removed, the parameter values of the child will be determined by either other ancestors node still connected, or by the "base set", which is the parameter value of the initial model from the JC-MSMB interface.

To overcome this problem, we used a stepwise autoregression method that initially fits a high order model with many autoregressive lags and then sequentially removes autoregressive parameters until all remaining autoregressive parameters have significant t tests.