Pages that link to "Item:Q1660142"

The following pages link to A propensity score adjustment method for regression models with nonignorable missing covariates (Q1660142):

Displaying 21 items.

• Weighted rank estimation for nonparametric transformation models with nonignorable missing data (Q830580) (← links)
• Bayesian local influence analysis of general estimating equations with nonignorable missing data (Q1658535) (← links)
• Measuring model misspecification: application to propensity score methods with complex survey data (Q1796929) (← links)
• Estimation and test of restricted linear EV model with nonignorable missing covariates (Q1989871) (← links)
• A propensity score adjustment method for longitudinal time series models under nonignorable nonresponse (Q2122815) (← links)
• Efficient estimation in a partially specified nonignorable propensity score model (Q2157489) (← links)
• Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses (Q2189749) (← links)
• Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data (Q2274969) (← links)
• Propensity score estimation using classification and regression trees in the presence of missing covariate data (Q2325020) (← links)
• BAGEL: a non-ignorable missing value estimation method for mixed attribute datasets (Q2359890) (← links)
• Estimation of Conditional Prevalence From Group Testing Data With Missing Covariates (Q3304867) (← links)
• A mean score method for missing and auxiliary covariate data in regression models (Q4842925) (← links)
• Adjustment for Missing Confounders Using External Validation Data and Propensity Scores (Q4916437) (← links)
• Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data (Q5222225) (← links)
• Empirical likelihood weighted composite quantile regression with partially missing covariates (Q5266558) (← links)
• Weighted composite quantile regression analysis for nonignorable missing data using nonresponse instrument (Q5266561) (← links)
• Efficient inverse probability weighting method for quantile regression with nonignorable missing data (Q5280367) (← links)
• Statistical inference for nonignorable missing-data problems: a selective review (Q5879962) (← links)
• Improved composite quantile regression and variable selection with nonignorable dropouts (Q6063736) (← links)
• Coarsened Propensity Scores and Hybrid Estimators for Missing Data and Causal Inference (Q6064617) (← links)
• A latent class model to multiply impute missing treatment indicators in observational studies when inferences of the treatment effect are made using propensity score matching (Q6141305) (← links)