Pages that link to "Item:Q5410319"
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The following pages link to On the stationary distribution of iterative imputations (Q5410319):
Displaying 18 items.
- Iterated importance sampling in missing data problems (Q959418) (← links)
- Multiply imputing missing values in data sets with mixed measurement scales using a sequence of generalised linear models (Q1659480) (← links)
- Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
- Multiple imputation for multilevel data with continuous and binary variables (Q1799343) (← links)
- Semiparametric Bayesian multiple imputation for regression models with missing mixed continuous-discrete covariates (Q2183768) (← links)
- Handling missing data in matched case-control studies using multiple imputation (Q2809549) (← links)
- Multiple imputation for continuous variables using a Bayesian principal component analysis (Q5222464) (← links)
- Discussion of PENCOMP (Q5229884) (← links)
- Sequential imputation for models with latent variables assuming latent ignorability (Q5229968) (← links)
- Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data (Q5885091) (← links)
- Full conditional distributions for Bayesian multilevel models with additive or interactive effects and missing data on covariates (Q6049861) (← links)
- A stacked approach for chained equations multiple imputation incorporating the substantive model (Q6055490) (← links)
- Application of iterative hybrid MI approach to household survey data with complex dependence structures (Q6171293) (← links)
- Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error (Q6552528) (← links)
- A computationally efficient sequential regression imputation algorithm for multilevel data (Q6604278) (← links)
- Copula selection models for non-Gaussian outcomes that are missing not at random (Q6625575) (← links)
- A monotone data augmentation algorithm for multivariate nonnormal data: with applications to controlled imputations for longitudinal trials (Q6625580) (← links)
- Handling missing predictor values when validating and applying a prediction model to new patients (Q6629816) (← links)
