Pages that link to "Item:Q4949544"

The following pages link to Inference for imputation estimators (Q4949544):

Displaying 50 items.

• Combining inverse probability weighting and multiple imputation to improve robustness of estimation (Q144956) (← links)
• Hazard function estimation with cause-of-death data missing at random (Q421423) (← links)
• Comment: Performance of double-robust estimators when ``inverse probability'' weights are highly variable (Q449792) (← links)
• Imputation estimators partially correct for model misspecification (Q458262) (← links)
• Empirical likelihood method for quantiles with response data missing at random (Q511170) (← links)
• Estimating treatment effects on the marginal recurrent event mean in the presence of a terminating event (Q746073) (← links)
• Large sample results for frequentist multiple imputation for Cox regression with missing covariate data (Q778878) (← links)
• Estimation of a zero-inflated Poisson regression model with missing covariates via nonparametric multiple imputation methods (Q782646) (← links)
• Flexible modeling of survival data with covariates subject to detection limits via multiple imputation (Q1615173) (← links)
• Using mixtures of \(t\) densities to make inferences in the presence of missing data with a small number of multiply imputed data sets (Q1663148) (← links)
• Semiparametric double robust and efficient estimation for mean functionals with response missing at random (Q1796962) (← links)
• Multiple imputation: a review of practical and theoretical findings (Q1799338) (← links)
• A panel quantile approach to attrition bias in big data: evidence from a randomized experiment (Q2000849) (← links)
• Projection-based consistent test for linear regression model with missing response and covariates (Q2025239) (← links)
• Doubly robust treatment effect estimation with missing attributes (Q2044265) (← links)
• Maximum likelihood multiple imputation: faster imputations and consistent standard errors without posterior draws (Q2075697) (← links)
• A note on imputing squares via polynomial combination approach (Q2095747) (← links)
• Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation (Q2194498) (← links)
• Robust inference when combining inverse-probability weighting and multiple imputation to address missing data with application to an electronic health records-based study of bariatric surgery (Q2233145) (← links)
• Bayesian multiple imputation for assay data subject to measurement error (Q2320832) (← links)
• Inferences for two-stage multiple imputation for nonresponse (Q2431679) (← links)
• A further study of the multiply robust estimator in missing data analysis (Q2437867) (← links)
• Probability density estimation with data missing at random when covariables are present (Q2475741) (← links)
• Large dimensional latent factor modeling with missing observations and applications to causal inference (Q2688665) (← links)
• A note on multiple imputation for method of moments estimation (Q2797350) (← links)
• Likelihood-based inference with missing data under missing-at-random (Q2815590) (← links)
• Combining multiple imputation and inverse-probability weighting (Q2893996) (← links)
• Inverse Probability Weighting with Missing Predictors of Treatment Assignment or Missingness (Q2931551) (← links)
• Multiple Imputation Approaches for the Analysis of Dichotomized Responses in Longitudinal Studies with Missing Data (Q3076052) (← links)
• On the Bias of the Multiple-Imputation Variance Estimator in Survey Sampling (Q3408546) (← links)
• Multiple-Bias Modelling for Analysis of Observational Data (Q3409822) (← links)
• <i>M</i>-Estimators Based on Inverse Probability Weighted Estimating Equations with Response Missing at Random (Q3593532) (← links)
• Multiple Imputation Methods for Treatment Noncompliance and Nonresponse in Randomized Clinical Trials (Q3623743) (← links)
• On the Performance of Sequential Regression Multiple Imputation Methods with Non Normal Error Distributions (Q3625355) (← links)
• Large-sample theory for parametric multiple imputation procedures (Q4236519) (← links)
• Inference with Imputed Conditional Means (Q4541284) (← links)
• On the multiple imputation variance estimator for control‐based and delta‐adjusted pattern mixture models (Q4556722) (← links)
• Proper and Improper Multiple Imputation (Q4832068) (← links)
• Nonparametric Estimation for Censored Mixture Data With Application to the Cooperative Huntington’s Observational Research Trial (Q4904711) (← links)
• Analysis of Longitudinal Clinical Trials with Missing Data Using Multiple Imputation in Conjunction with Robust Regression (Q4911951) (← links)
• Multiply Robust Estimation in Regression Analysis With Missing Data (Q4975567) (← links)
• Variable Selection with Multiply-Imputed Datasets: Choosing Between Stacked and Grouped Methods (Q5057238) (← links)
• Leveraging random assignment to impute missing covariates in causal studies (Q5065284) (← links)
• Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework (Q5136964) (← links)
• Inverse Probability Weighted Estimation of Risk Under Representative Interventions in Observational Studies (Q5231520) (← links)
• Multiple imputation for the analysis of incomplete compound variables (Q5256380) (← links)
• Multiple imputation methods for recurrent event data with missing event category (Q5295959) (← links)
• On the stationary distribution of iterative imputations (Q5410319) (← links)
• Multiple imputation: current perspectives (Q5425039) (← links)
• Semiparametric methods to contrast gap time survival functions: Application to repeat kidney transplantation (Q5739278) (← links)