Pages that link to "Item:Q449788"

The following pages link to Demystifying double robustness: a comparison of alternative strategies for estimating a population mean from incomplete data (Q449788):

Displaying 50 items.

• Estimating a causal exposure response function with a continuous error-prone exposure: a study of fine particulate matter and all-cause mortality (Q6045975) (← 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)
• Comparison of covariate balance weighting methods in estimating treatment effects (Q6052522) (← links)
• Joint calibrated estimation of inverse probability of treatment and censoring weights for marginal structural models (Q6055533) (← links)
• Nonparametric Inverse-Probability-Weighted Estimators Based on the Highly Adaptive Lasso (Q6055851) (← links)
• Causal inference: Critical developments, past and future (Q6059423) (← links)
• Coarsened Propensity Scores and Hybrid Estimators for Missing Data and Causal Inference (Q6064617) (← links)
• Subclassification estimation of the weighted average treatment effect (Q6068300) (← links)
• Discussion on “Correct and logical causal inference for binary and time‐to‐event outcomes in randomized controlled trials” by Yi Liu, Bushi Wang, Miao Yang, Jianan Hui, Heng Xu, Siyoen Kil, and Jason C. Hsu (Q6068459) (← 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)
• Instrumental Variable Estimation of the Causal Hazard Ratio (Q6079729) (← links)
• Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
• Semiparametric estimation of long-term treatment effects (Q6090606) (← links)
• Nonparametric regression with nonignorable missing covariates and outcomes using bounded inverse weighting (Q6091917) (← links)
• Semiparametric Bayesian doubly robust causal estimation (Q6101696) (← links)
• A semiparametric multiply robust multiple imputation method for causal inference (Q6106314) (← links)
• The Generalized Oaxaca-Blinder Estimator (Q6107228) (← links)
• A unified framework of multiply robust estimation approaches for handling incomplete data (Q6166919) (← links)
• Leveraging population outcomes to improve the generalization of experimental results: application to the JTPA study (Q6179120) (← links)
• Projected state-action balancing weights for offline reinforcement learning (Q6183753) (← links)
• RKHS-based covariate balancing for survival causal effect estimation (Q6205043) (← links)
• A simple multiply robust estimator for missing response problem (Q6537846) (← links)
• Doubly robust estimation in observational studies with partial interference (Q6541488) (← links)
• Robust nonparametric estimation of average treatment effects: a propensity score-based varying coefficient approach (Q6548901) (← links)
• Model misspecification and bias for inverse probability weighting estimators of average causal effects (Q6550300) (← links)
• On the effect of obesity on employment in the presence of observed and unobserved confounding (Q6552774) (← links)
• Nonparametric augmented probability weighting with sparsity (Q6554241) (← links)
• A calibration method to stabilize estimation with missing data (Q6554765) (← links)
• Estimation of causal effects with a binary treatment variable: a unified M-estimation framework (Q6561146) (← links)
• Semiparametric Proximal Causal Inference (Q6567929) (← links)
• Independence Weights for Causal Inference with Continuous Treatments (Q6567959) (← links)
• On average predictive comparisons and interactions (Q6574240) (← links)
• Prior and posterior checking of implicit causal assumptions (Q6589259) (← links)
• Entropy balancing for causal generalization with target sample summary information (Q6589264) (← 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)
• On calibrated inverse probability weighting and generalized boosting propensity score models for mean estimation with incomplete survey data (Q6602038) (← links)
• Propensity score matching for estimating a marginal hazard ratio (Q6615932) (← links)
• A fast bootstrap algorithm for causal inference with large data (Q6615950) (← links)
• Exposure effects on count outcomes with observational data, with application to incarcerated women (Q6616359) (← links)
• Efficient Augmented Inverse Probability Weighted Estimation in Missing Data Problems (Q6616599) (← links)
• Model-assisted estimators for time-to-event data from complex surveys (Q6617384) (← links)
• A comparison of different methods to adjust survival curves for confounders (Q6617506) (← links)
• Balancing versus modelling in weighted analysis of non-randomised studies with survival outcomes: a simulation study (Q6618303) (← links)
• Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes (Q6618431) (← links)
• Targeted learning in observational studies with multi-valued treatments: an evaluation of antipsychotic drug treatment safety (Q6618441) (← links)
• High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables (Q6620989) (← links)
• A nonparametric doubly robust test for a continuous treatment effect (Q6621539) (← links)