The following pages link to OUP accepted manuscript (Q5384481):
Displaying 36 items.
- A beyond multiple robust approach for missing response problem (Q829749) (← links)
- Survey item nonresponse and its treatment (Q862794) (← links)
- Jackknife empirical likelihood method for multiply robust estimation with missing data (Q1663131) (← links)
- Multiply robust imputation procedures for zero-inflated distributions in surveys (Q1689531) (← links)
- Empirical likelihood inference for non-randomized pretest-posttest studies with missing data (Q2002580) (← links)
- On making valid inferences by integrating data from surveys and other sources (Q2040672) (← links)
- Semiparametric optimal estimation with nonignorable nonresponse data (Q2054542) (← links)
- Robust estimation for moment condition models with data missing not at random (Q2301118) (← links)
- Doubly robust inference for the distribution function in the presence of missing survey data (Q2821473) (← links)
- (Q3602213) (← links)
- Two-step calibration estimation under multiple auxiliary variables in survey sampling (Q5040522) (← links)
- Ensemble and calibration multiply robust estimation for quantile treatment effect (Q5044694) (← links)
- A multiply robust Mann-Whitney test for non-randomised pretest-posttest studies with missing data (Q5114477) (← links)
- Asymptotic theory and inference of predictive mean matching imputation using a superpopulation model framework (Q5136964) (← links)
- Doubly robust imputation procedures for finite population means in the presence of a large number of zeros (Q5175769) (← links)
- Multiply robust nonparametric multiple imputation for the treatment of missing data (Q5243747) (← links)
- General purpose multiply robust data integration procedures for handling nonprobability samples (Q6049756) (← links)
- Robust quasi‐randomization‐based estimation with ensemble learning for missing data (Q6049793) (← links)
- Combining Item Response Theory with Multiple Imputation to Equate Health Assessment Questionnaires (Q6056311) (← links)
- Pseudo empirical likelihood inference for nonprobability survey samples (Q6059416) (← links)
- Calibrated regression estimation using empirical likelihood under data fusion (Q6071722) (← links)
- A multiple robust propensity score method for longitudinal analysis with intermittent missing data (Q6074497) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Sampling Techniques for Big Data Analysis (Q6090536) (← links)
- Recent Developments in Dealing with Item Non‐response in Surveys: A Critical Review (Q6090537) (← links)
- A semiparametric multiply robust multiple imputation method for causal inference (Q6106314) (← links)
- A unified framework of multiply robust estimation approaches for handling incomplete data (Q6166919) (← links)
- A calibration method to stabilize estimation with missing data (Q6554765) (← links)
- Robust propensity score weighting estimation under missing at random (Q6595778) (← links)
- Robust causal inference of drug-drug interactions (Q6617452) (← links)
- Regression Analysis with Individual-Specific Patterns of Missing Covariates (Q6617744) (← links)
- Imputations for High Missing Rate Data in Covariates Via Semi-supervised Learning Approach (Q6620947) (← links)
- Estimating the marginal hazard ratio by simultaneously using a set of propensity score models: a multiply robust approach (Q6627647) (← links)
- Multiply robust estimation of causal quantile treatment effects (Q6629892) (← links)
- Efficient multiply robust imputation in the presence of influential units in surveys (Q6632388) (← links)
- Information projection approach to smoothed propensity score weighting for handling selection bias under missing at random (Q6664139) (← links)
