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 42 items.

• Introduction to computational causal inference using reproducible Stata, R, and Python code: a tutorial (Q6622245) (← links)
• A doubly robust method to handle missing multilevel outcome data with application to the China health and nutrition survey (Q6622286) (← links)
• Causal inference in the absence of positivity: the role of overlap weights (Q6625475) (← links)
• Optimal probability weights for estimating causal effects of time-varying treatments with marginal structural Cox models (Q6625600) (← links)
• Classification using ensemble learning under weighted misclassification loss (Q6625617) (← links)
• Propensity score analysis with local balance (Q6625802) (← links)
• Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference (Q6625962) (← links)
• Should a propensity score model be super? The utility of ensemble procedures for causal adjustment (Q6625992) (← links)
• Parametric and nonparametric propensity score estimation in multilevel observational studies (Q6626946) (← links)
• Statistical inference for data-adaptive doubly robust estimators with survival outcomes (Q6627164) (← links)
• Causal inference of latent classes in complex survey data with the estimating equation framework (Q6627289) (← links)
• Doubly robust inference procedure for relative survival ratio in population-based cancer registry data (Q6627389) (← links)
• Extending inferences from a randomized trial to a new target population (Q6627399) (← links)
• Quantifying the bias due to observed individual confounders in causal treatment effect estimates (Q6627443) (← links)
• Robust estimation of the causal effect of time-varying neighborhood factors on health outcomes (Q6627464) (← links)
• Balancing vs modeling approaches to weighting in practice (Q6627611) (← links)
• Propensity score stratification methods for continuous treatments (Q6627641) (← links)
• Vector-based kernel weighting: a simple estimator for improving precision and bias of average treatment effects in multiple treatment settings (Q6627645) (← links)
• A comparison of parametric propensity methods for causal inference with multiple treatments and a binary outcome (Q6627692) (← links)
• More robust estimation of average treatment effects using kernel optimal matching in an observational study of spine surgical interventions (Q6627776) (← links)
• Estimating adjusted risk differences by multiply-imputing missing control binary potential outcomes following propensity score-matching (Q6628246) (← links)
• A calibration approach to transportability and data-fusion with observational data (Q6629302) (← links)
• Impact of discretization of the timeline for longitudinal causal inference methods (Q6629866) (← links)
• Multiply robust estimation of causal quantile treatment effects (Q6629892) (← links)
• Double robust estimation of optimal partially adaptive treatment strategies: an application to breast cancer treatment using hormonal therapy (Q6629921) (← links)
• Refined moderation analysis with categorical outcomes in precision medicine (Q6629936) (← links)
• Dealing with confounding in observational studies: a scoping review of methods evaluated in simulation studies with single-point exposure (Q6629943) (← links)
• Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation (Q6630299) (← links)
• Efficient multiply robust imputation in the presence of influential units in surveys (Q6632388) (← links)
• A case study of the impact of data-adaptive versus model-based estimation of the propensity scores on causal inferences from three inverse probability weighting estimators (Q6632727) (← links)
• Data-adaptive bias-reduced doubly robust estimation (Q6632734) (← links)
• Review and comparison of treatment effect estimators using propensity and prognostic scores (Q6637101) (← links)
• Targeted maximum likelihood estimation using exponential families (Q6637132) (← links)
• Double robust efficient estimators of longitudinal treatment effects: comparative performance in simulations and a case study (Q6637206) (← links)
• Assessing the causal effect of policies: an example using stochastic interventions (Q6637421) (← links)
• A weighting analogue to pair matching in propensity score analysis (Q6637426) (← links)
• An alternative doubly robust estimation in causal inference model (Q6640985) (← links)
• Mahalanobis balancing: a multivariate perspective on approximate covariate balancing (Q6641026) (← links)
• Design-robust two-way-fixed-effects regression for panel data (Q6646167) (← links)
• Using instruments for selection to adjust for selection bias in Mendelian randomization (Q6652590) (← links)
• High-dimensional model-assisted inference for treatment effects with multi-valued treatments (Q6664630) (← links)
• Efficient covariate balancing for the average treatment effect with missing outcome (Q6665041) (← links)