Sentence examples for distribution of the predictors from inspiring English sources

Additional File 1 Table s1 also shows the distribution of the predictors of the NO2 model.

Five sets of imputations were generated using Monte Carlo Markov chain simulation from an approximating multivariate normal distribution of the predictors.

As a first step we will compare the distribution of the predictors of the PIAMA Risk Score and the asthma outcome in the development (PIAMA) and validation (Generation R) data to determine whether the datasets are comparable.

However to calculate the unconditional probability of a BFO dose exceeding a pre-specified limit ("BFO dose risk"), one must also take into account the distribution of the predictor (Φ30,Φ60, or Φ100), as estimated from historical SPEs.

Table 2 depicts the distribution of the predictor variables as frequencies and percentages together with the distribution of overall satisfaction.

This example illustrates the trade-off between the conditional entropy of the target and the probability distribution of the predictor.

Furthermore, both the association between the predictor and the response variable, and the probability distribution of the predictor could determine the strength of the covariate in the model.

Table 2 shows the distribution of the predictor variables for the three outcome categories and univariate polytomous regression coefficients in the combined derivation population.

This results in a trade-off between the relevance of the conditional entropy and the probability distribution of the predictor genes.

The absence of any associations is likely attributable to the distribution of the predictor variable scores being relatively equal between the CLBP and control groups or insufficient power to identify any differences.

The algorithms in these software packages require specification of the base rate ("Exp β0)"), the risk ratio, the proportion of the variance of the pollution variable explained by other variables in the model ("R-squared other X"), the distribution of the predictor variable ("distribution of X1"), the sample size, the mean exposure period, alpha, and the number of tails [ 1, 9, 11].