Sentence examples for missing covariates are from inspiring English sources

The generalized semiparametric regression models for the cumulative incidence functions with missing covariates are investigated.

These missing covariates are related to the study outcomes.

Spatial methods for analyzing data with missing covariates are underdeveloped; the recent paper by French and Wand offers another possible option [ 15].

The presence of sparse data and missing covariates are conditions for which the Bayesian paradigm presents some advantages over the frequentist paradigm.

For full maximum likelihood modelling, the variance of the uncertainty distribution is fixed to the estimated value and the values of the missing covariates are estimated from the fixed distribution and the individuals' observed data.

Sporadic missing covariates were replaced by the population mean (<5%).

Patients with missing covariates were removed from the analysis.

These missing covariates were imputed with a multiple imputation model.

However, the number of missing covariates is a limitation as sample sizes for individual analyses were substantially reduced.

The extent to which some covariate data were missing was also considered in an additional sensitivity analysis, in which values for the missing covariates were imputed.

Values of missing covariates were imputed at random based on observed probability distributions (< 2% missing) or on prediction models using nonmissing variables (≥ 2% missing).