Pages that link to "Item:Q2892098"
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The following pages link to Improved double-robust estimation in missing data and causal inference models (Q2892098):
Displaying 50 items.
- Doubly Robust Estimation in Missing Data and Causal Inference Models (Q92189) (← links)
- Combining inverse probability weighting and multiple imputation to improve robustness of estimation (Q144956) (← links)
- A beyond multiple robust approach for missing response problem (Q829749) (← links)
- Robust and efficient estimation for the treatment effect in causal inference and missing data problems (Q1644251) (← links)
- Double robustness without weighting (Q1726867) (← links)
- Why prefer double robust estimators in causal inference? (Q1765677) (← links)
- Introduction to double robust methods for incomplete data (Q1799345) (← links)
- Robust inference for mediated effects in partially linear models (Q2066605) (← links)
- A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables (Q2076131) (← links)
- A two-stage optimal subsampling estimation for missing data problems with large-scale data (Q2143025) (← links)
- A note on improving the efficiency of inverse probability weighted estimator using the augmentation term (Q2231031) (← links)
- Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts (Q2256745) (← links)
- Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards (Q2274689) (← links)
- A further study of the multiply robust estimator in missing data analysis (Q2437867) (← links)
- Overlap weight and propensity score residual for heterogeneous effects: a review with extensions (Q2676883) (← links)
- Double-estimation-friendly inference for high-dimensional misspecified models (Q2684689) (← links)
- Bounded, efficient and doubly robust estimation with inverse weighting (Q2786375) (← links)
- Doubly robust and locally efficient estimation with missing outcomes (Q2796876) (← links)
- Doubly robust empirical likelihood inference in covariate-missing data problems (Q2953454) (← links)
- Improved Doubly Robust Estimation When Data Are Monotonely Coarsened, with Application to Longitudinal Studies with Dropout (Q3013983) (← links)
- Nonparametric likelihood and doubly robust estimating equations for marginal and nested structural models (Q3086517) (← links)
- Efficient restricted estimators for conditional mean models with missing data (Q3174194) (← links)
- Improving efficiency and robustness of the doubly robust estimator for a population mean with incomplete data (Q3399082) (← links)
- A GENERAL DOUBLE ROBUSTNESS RESULT FOR ESTIMATING AVERAGE TREATMENT EFFECTS (Q4599619) (← links)
- Doubly robust estimation of partially linear models for longitudinal data with dropouts and measurement error in covariates (Q4639150) (← links)
- Rejoinder (Q4916484) (← links)
- Multiply Robust Estimation in Regression Analysis With Missing Data (Q4975567) (← links)
- Assumption Lean Regression (Q5055474) (← links)
- High breakdown point robust estimators with missing data (Q5075551) (← links)
- Robust estimation of models for longitudinal data with dropouts and outliers (Q5085667) (← links)
- Estimation with missing data: beyond double robustness (Q5411043) (← links)
- Enhanced precision in the analysis of randomized trials with ordinal outcomes (Q5739266) (← links)
- Causal inference with missingness in confounder (Q5879916) (← links)
- A Semiparametric Approach to Model Effect Modification (Q5885101) (← links)
- Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data (Q6050944) (← links)
- On distance based goodness of fit tests for missing data when missing occurs at random (Q6051632) (← links)
- Evaluating multiple surrogate markers with censored data (Q6055488) (← links)
- A semiparametric method for evaluating causal effects in the presence of error‐prone covariates (Q6070998) (← links)
- An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer's clinical trial (Q6138572) (← links)
- Causal inference of general treatment effects using neural networks with a diverging number of confounders (Q6193012) (← links)
- Doubly robust estimation in observational studies with partial interference (Q6541488) (← links)
- Inference for Treatment-Specific Survival Curves Using Machine Learning (Q6567948) (← links)
- Optimal Covariate Balancing Conditions in Propensity Score Estimation (Q6586890) (← links)
- Highly robust causal semiparametric U-statistic with applications in biomedical studies (Q6590275) (← links)
- A doubly robust method to handle missing multilevel outcome data with application to the China health and nutrition survey (Q6622286) (← links)
- Doubly robust estimation of the weighted average treatment effect for a target population (Q6625556) (← links)
- Propensity score analysis with local balance (Q6625802) (← links)
- Robust estimation of the causal effect of time-varying neighborhood factors on health outcomes (Q6627464) (← links)
- Combining multiple imputation with raking of weights: an efficient and robust approach in the setting of nearly true models (Q6628218) (← links)
- Targeted estimation of nuisance parameters to obtain valid statistical inference (Q6632692) (← links)
