Pages that link to "Item:Q5299793"
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The following pages link to Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data (Q5299793):
Displaying 32 items.
- Combining inverse probability weighting and multiple imputation to improve robustness of estimation (Q144956) (← links)
- Oracle, multiple robust and multipurpose calibration in a missing response problem (Q252726) (← links)
- Z-estimation and stratified samples: application to survival models (Q269747) (← links)
- Second-order asymptotic theory for calibration estimators in sampling and missing-data problems (Q406543) (← links)
- Estimation of finite population duration distributions from longitudinal survey panels with intermittent followup (Q746473) (← links)
- Weighted likelihood estimation under two-phase sampling (Q1952451) (← links)
- Accounting for dependent errors in predictors and time-to-event outcomes using electronic health records, validation samples and multiple imputation (Q2194498) (← links)
- Complex sampling designs: uniform limit theorems and applications (Q2656604) (← links)
- Variance Estimation under Two‐Phase Sampling (Q3460665) (← links)
- ON DERIVATION OF THE SEMI-PARAMETRIC WEIGHTED LIKELIHOOD ESTIMATOR, SPW, AND THE WEIGHTED CONDITIONAL PSEUDO LIKELIHOOD ESTIMATOR, WCPE (Q5069511) (← links)
- Combining Multiple Observational Data Sources to Estimate Causal Effects (Q5120690) (← links)
- Response‐dependent two‐phase sampling designs for biomarker studies (Q5166415) (← links)
- Discussions (Q5299794) (← links)
- Meta-analysis of independent datasets using constrained generalised method of moments (Q5880032) (← links)
- Weight calibration to improve the efficiency of pure risk estimates from case‐control samples nested in a cohort (Q6047745) (← links)
- Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort (Q6055722) (← links)
- Integrating information from existing risk prediction models with no model details (Q6059451) (← links)
- Calibration Weighting Methods for Complex Surveys (Q6064625) (← links)
- Weight calibration to improve efficiency for estimating pure risks from the additive hazards model with the nested case‐control design (Q6079327) (← links)
- Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
- Improved generalized raking estimators to address dependent covariate and failure‐time outcome error (Q6091680) (← links)
- An efficient data integration scheme for synthesizing information from multiple secondary datasets for the parameter inference of the main analysis (Q6589233) (← links)
- Cox model inference for relative hazard and pure risk from stratified weight-calibrated case-cohort data (Q6590173) (← links)
- Population-level information for improving quantile regression efficiency (Q6606036) (← links)
- Optimal multiwave sampling for regression modeling in two-phase designs (Q6617440) (← links)
- Improving main analysis by borrowing information from auxiliary data (Q6622260) (← links)
- Optimal sampling for design-based estimators of regression models (Q6626803) (← links)
- Regression calibration to correct correlated errors in outcome and exposure (Q6627884) (← links)
- Raking and regression calibration: methods to address bias from correlated covariate and time-to-event error (Q6627916) (← links)
- Combining multiple imputation with raking of weights: an efficient and robust approach in the setting of nearly true models (Q6628218) (← links)
- On the analysis of two-phase designs in cluster-correlated data settings (Q6628721) (← links)
- Three-phase generalized raking and multiple imputation estimators to address error-prone data (Q6630279) (← links)
