Pages that link to "Item:Q1799345"
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The following pages link to Introduction to double robust methods for incomplete data (Q1799345):
Displaying 23 items.
- Doubly robust difference-in-differences estimators (Q101594) (← links)
- Combining inverse probability weighting and multiple imputation to improve robustness of estimation (Q144956) (← links)
- A method for increasing the robustness of multiple imputation (Q434934) (← links)
- Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (Q449788) (← links)
- Comment: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (Q449790) (← links)
- Rejoinder: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (Q449794) (← links)
- Pattern graphs: a graphical approach to nonmonotone missing data (Q2119222) (← links)
- Kernel machines with missing responses (Q2209830) (← links)
- Semiparametric Bayesian causal inference (Q2215769) (← 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)
- Doubly robust multiple imputation using kernel-based techniques (Q2806847) (← links)
- Improved double-robust estimation in missing data and causal inference models (Q2892098) (← links)
- Combining multiple imputation and inverse-probability weighting (Q2893996) (← links)
- Causal inference with missingness in confounder (Q5879916) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Treatment effect identification using two-level designs with partially ignorable missing data (Q6122312) (← links)
- An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer's clinical trial (Q6138572) (← links)
- Kernel machines with missing covariates (Q6184885) (← links)
- Model misspecification and bias for inverse probability weighting estimators of average causal effects (Q6550300) (← links)
- Estimation of causal effects with a binary treatment variable: a unified M-estimation framework (Q6561146) (← links)
- A self-censoring model for multivariate nonignorable nonmonotone missing data (Q6589266) (← links)
- Highly robust causal semiparametric U-statistic with applications in biomedical studies (Q6590275) (← links)
- Statistical inference for high-dimensional linear regression with blockwise missing data (Q6671926) (← links)
