Pages that link to "Item:Q4648984"

The following pages link to Multiple Imputation and its Application (Q4648984):

Displaying 50 items.

• Nested case-control studies: should one break the matching? (Q269750) (← links)
• MIMCA: multiple imputation for categorical variables with multiple correspondence analysis (Q518262) (← links)
• Multiple imputation and other resampling schemes for imputing missing observations (Q842911) (← links)
• The role of statistics in the era of big data: electronic health records for healthcare research (Q1642401) (← links)
• Covariance matrix estimation for left-censored data (Q1663141) (← links)
• Different methods for handling incomplete longitudinal binary outcome due to missing at random dropout (Q1731257) (← links)
• Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
• Multiple imputation for multilevel data with continuous and binary variables (Q1799343) (← links)
• Bayesian approaches for missing not at random outcome data: the role of identifying restrictions (Q1799346) (← links)
• On multiple imputation for unbalanced ranked set samples with applications in quantile estimation (Q2032326) (← links)
• Doubly robust treatment effect estimation with missing attributes (Q2044265) (← links)
• Using multiple imputation with GEE with non-monotone missing longitudinal binary outcomes (Q2065247) (← links)
• Semi-parametric regression when some (expensive) covariates are missing by design (Q2065301) (← links)
• Bayesian profiling multiple imputation for missing hemoglobin values in electronic health records (Q2078766) (← links)
• A new robust ratio estimator by modified Cook's distance for missing data imputation (Q2103294) (← links)
• General and feasible tests with multiply-imputed datasets (Q2131261) (← links)
• Handling missing data in matched case-control studies using multiple imputation (Q2809549) (← links)
• Estimating hazard ratios in cohort data with missing disease information due to death (Q2980220) (← links)
• Multiple Imputation After 18+ Years (Q3129032) (← links)
• (Q3146112) (← links)
• Multiple imputation when records used for imputation are not used or disseminated for analysis (Q3181930) (← links)
• The estimation and use of predictions for the assessment of model performance using large samples with multiply imputed data (Q3451374) (← links)
• Diagnostics for Multivariate Imputations (Q3634598) (← links)
• Comparison of multiple imputation and two-phase logistic regression to analyse two-phase case–control studies with rich phase 1: a simulation study (Q4960678) (← links)
• Strategies for handling missing data in longitudinal studies with questionnaires (Q4960771) (← links)
• A Bayesian model for measurement and misclassification errors alongside missing data, with an application to higher education participation in Australia (Q5035775) (← links)
• Multiple imputation of masked competing risks data using machine learning algorithms (Q5055242) (← links)
• Mean functional estimation with non-ignorable missing data using influential exponential tilting resampling approach (Q5086103) (← links)
• Handling missing data in a composite outcome with partially observed components: simulation study based on clustered paediatric routine data (Q5093011) (← links)
• A multiple regression imputation method with application to sensitivity analysis under intermittent missingness (Q5093703) (← links)
• Impact of the non-distinctness and non-ignorability on the inference by multiple imputation in multivariate multilevel data: a simulation assessment (Q5106889) (← links)
• Multiple imputation for gamma outcome variable using generalized linear model (Q5106904) (← links)
• Fast two-stage estimator for clustered count data with overdispersion (Q5107481) (← links)
• Multiple imputation for ordinal longitudinal data with monotone missing data patterns (Q5138532) (← links)
• A general GEE framework for the analysis of longitudinal ordinal missing data and related issues (Q5142235) (← links)
• (Q5154470) (← links)
• Improved methods for estimating fraction of missing information in multiple imputation (Q5193294) (← links)
• Unbalanced cluster sizes and rates of convergence in mixed-effects models for clustered data (Q5222463) (← links)
• Model parameters estimation with non-ignorable missing data using influential exponential tilting resampling approach (Q5887965) (← links)
• Use of multiple imputation in supersampled nested case‐control and case‐cohort studies (Q5889487) (← links)
• Full conditional distributions for Bayesian multilevel models with additive or interactive effects and missing data on covariates (Q6049861) (← links)
• Information anchored reference‐based sensitivity analysis for truncated normal data with application to survival analysis (Q6067730) (← links)
• Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: Comparison of methods implemented in Stata (Q6071304) (← links)
• Multiple imputation regression discontinuity designs: Alternative to regression discontinuity designs to estimate the local average treatment effect at the cutoff (Q6082994) (← links)
• A Brief Review of Approaches to Non‐ignorable Non‐response (Q6086594) (← links)
• Missing data: A statistical framework for practice (Q6091675) (← links)
• (Q6100900) (← links)
• Imputation strategies for clustering mixed-type data with missing values (Q6156307) (← links)
• Addressing missing data in the estimation of time-varying treatments in comparative effectiveness research (Q6560497) (← links)
• Copula selection models for non-Gaussian outcomes that are missing not at random (Q6625575) (← links)