Pages that link to "Item:Q92189"

The following pages link to Doubly Robust Estimation in Missing Data and Causal Inference Models (Q92189):

Displaying 50 items.

• Model averaged double robust estimation (Q5283296) (← links)
• A comparative study of doubly robust estimators of the mean with missing data (Q5300732) (← links)
• On doubly robust estimation in a semiparametric odds ratio model (Q5305479) (← links)
• In Praise of Simplicity not Mathematistry! Ten Simple Powerful Ideas for the Statistical Scientist (Q5327256) (← links)
• On varieties of doubly robust estimators under missingness not at random with a shadow variable (Q5384385) (← links)
• A Bayesian view of doubly robust causal inference: Table 1. (Q5384401) (← links)
• Estimation with missing data: beyond double robustness (Q5411043) (← links)
• Doubly robust inference with missing data in survey sampling (Q5413262) (← links)
• Imputation using response probability (Q5476457) (← links)
• Enhanced precision in the analysis of randomized trials with ordinal outcomes (Q5739266) (← links)
• Estimation and Validation of Ratio-based Conditional Average Treatment Effects Using Observational Data (Q5857113) (← links)
• Efficient Estimation of Optimal Regimes Under a No Direct Effect Assumption (Q5857144) (← links)
• Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules (Q5857147) (← links)
• Causal inference with missingness in confounder (Q5879916) (← links)
• (Q5879928) (← links)
• Nonparametric Tests of the Causal Null With Nondiscrete Exposures (Q5881156) (← links)
• A Semiparametric Approach to Model Effect Modification (Q5885101) (← links)
• Comment: Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (Q5965652) (← links)
• Comment: Struggles with survey weighting and regression modeling (Q5965662) (← links)
• Robust and efficient semi‐supervised estimation of average treatment effects with application to electronic health records data (Q6050944) (← links)
• Evaluating multiple surrogate markers with censored data (Q6055488) (← links)
• Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties (Q6055532) (← links)
• Semiparametric estimation of structural nested mean models with irregularly spaced longitudinal observations (Q6055622) (← links)
• Nonparametric Estimation of the Causal Effect of a Stochastic Threshold-Based Intervention (Q6055850) (← links)
• Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso (Q6055851) (← links)
• Nested doubly robust estimating equations for causal analysis with an incomplete effect modifier (Q6059395) (← links)
• Causal inference: Critical developments, past and future (Q6059423) (← links)
• Coarsened Propensity Scores and Hybrid Estimators for Missing Data and Causal Inference (Q6064617) (← links)
• A Review of Spatial Causal Inference Methods for Environmental and Epidemiological Applications (Q6067151) (← links)
• Subclassification estimation of the weighted average treatment effect (Q6068300) (← links)
• Causal inference in case of near‐violation of positivity: comparison of methods (Q6068866) (← links)
• A semiparametric method for evaluating causal effects in the presence of error‐prone covariates (Q6070998) (← links)
• Multiply robust estimation of the average treatment effect with missing outcomes (Q6074382) (← links)
• A multiple robust propensity score method for longitudinal analysis with intermittent missing data (Q6074497) (← links)
• Parametric g‐formula implementations for causal survival analyses (Q6074529) (← links)
• Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data (Q6079481) (← links)
• Estimation of separable direct and indirect effects in continuous time (Q6079850) (← links)
• Estimating Mann–Whitney‐type Causal Effects (Q6086585) (← links)
• Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
• Semiparametric estimation of long-term treatment effects (Q6090606) (← links)
• Making apples from oranges: Comparing noncollapsible effect estimators and their standard errors after adjustment for different covariate sets (Q6091719) (← links)
• Improved multiple quantile regression estimation with nonignorable dropouts (Q6101004) (← links)
• Semiparametric Bayesian doubly robust causal estimation (Q6101696) (← links)
• Estimating heterogeneous causal effects in observational studies using small area predictors (Q6115534) (← links)
• Policy evaluation during a pandemic (Q6133349) (← links)
• An efficient doubly-robust imputation framework for longitudinal dropout, with an application to an Alzheimer's clinical trial (Q6138572) (← links)
• Outlier-Resistant Estimators for Average Treatment Effect in Causal Inference (Q6144624) (← links)
• Federated causal inference in heterogeneous observational data (Q6149278) (← links)
• On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects (Q6160989) (← links)
• Adjusting for unmeasured confounding in survival causal effect using validation data (Q6167044) (← links)