Pages that link to "Item:Q4962078"

The following pages link to Bounded, Efficient and Multiply Robust Estimation of Average Treatment Effects Using Instrumental Variables (Q4962078):

Displaying 50 items.

• Bounding a linear causal effect using relative correlation restrictions (Q312368) (← links)
• Robust inference on average treatment effects with possibly more covariates than observations (Q496134) (← links)
• Bounded-influence instrumental variables estimator: an extension (Q900032) (← links)
• Bounding average treatment effects: a linear programming approach (Q1667941) (← links)
• Instrumental variable estimation with a stochastic monotonicity assumption (Q1704705) (← links)
• Further results on instrumental variables estimation of average treatment effects in the correlated random coefficient model (Q1927301) (← links)
• Inference on difference-in-differences average treatment effects: a fixed-\(b\) approach (Q2000877) (← links)
• The GENIUS approach to robust Mendelian randomization inference (Q2075701) (← links)
• Identification of the outcome distribution and sensitivity analysis under weak confounder-instrument interaction (Q2170243) (← links)
• On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable (Q2244592) (← links)
• Robust estimation for moment condition models with data missing not at random (Q2301118) (← links)
• Two-sample instrumental variable analyses using heterogeneous samples (Q2325638) (← links)
• Causal mediation analysis: from simple to more robust strategies for estimation of marginal natural (in)direct effects (Q2683176) (← links)
• Estimating the average treatment effect in randomized clinical trials with all-or-none compliance (Q2686032) (← links)
• A natural robustification of the ordinary instrumental variables estimator (Q2861951) (← links)
• Doubly robust instrumental variable regression (Q3223863) (← links)
• IV estimation without distributional assumptions (Q3299065) (← links)
• Partial Identification of the Average Treatment Effect Using Instrumental Variables: Review of Methods for Binary Instruments, Treatments, and Outcomes (Q4962457) (← links)
• A Simple and Efficient Estimation of Average Treatment Effects in Models with Unmeasured Confounders (Q5066786) (← links)
• On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion (Q5067435) (← links)
• Generalised regression estimators for average treatment effect with multicollinearity in high-dimensional covariates (Q5078829) (← links)
• Identification and Inference for Marginal Average Treatment Effect on the Treated with an Instrumental Variable (Q5134487) (← links)
• Multiply robust estimation in nonparametric regression with missing data (Q5221299) (← links)
• A Semiparametric Instrumental Variable Approach to Optimal Treatment Regimes Under Endogeneity (Q5857107) (← links)
• Optimal Individualized Decision Rules Using Instrumental Variable Methods (Q5857139) (← links)
• Comment: Individualized Treatment Rules Under Endogeneity (Q5857140) (← links)
• Discussion of Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020) (Q5857141) (← links)
• Two robust tools for inference about causal effects with invalid instruments (Q6055523) (← links)
• Instrumental Variable Estimation of the Causal Hazard Ratio (Q6079729) (← links)
• Discussion on “Instrumental Variable Estimation of the Causal Hazard Ratio,” by Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen, and Stijn Vansteelandt (Q6079733) (← links)
• Rejoinder to Discussions on “Instrumental Variable Estimation of the Causal Hazard Ratio” (Q6079736) (← links)
• Instrumented Difference-in-Differences (Q6079738) (← links)
• Ultra-High Dimensional Variable Selection for Doubly Robust Causal Inference (Q6079782) (← links)
• Calibration Techniques Encompassing Survey Sampling, Missing Data Analysis and Causal Inference (Q6089884) (← links)
• Estimating treatment effects in the presence of unobserved confounders (Q6141686) (← links)
• Endogenous treatment effect for any response conditional on control propensity score (Q6160847) (← links)
• Wilcoxon-Mann-Whitney statistics in randomized trials with non-compliance (Q6200885) (← links)
• Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable (Q6547768) (← links)
• Instrumental variable estimation of weighted local average treatment effects (Q6549160) (← links)
• Proximal Learning for Individualized Treatment Regimes Under Unmeasured Confounding (Q6567887) (← links)
• Instrumental Variable Estimation of Marginal Structural Mean Models for Time-Varying Treatment (Q6567917) (← links)
• An introduction to proximal causal inference (Q6579149) (← links)
• Sensitivity of estimands in clinical trials with imperfect compliance (Q6590274) (← links)
• High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables (Q6620989) (← links)
• Group sequential testing under instrumented difference-in-differences approach (Q6626907) (← links)
• Nonparametric bounds in two-sample summary-data Mendelian randomization: some cautionary tales for practice (Q6628392) (← links)
• Dealing with confounding in observational studies: a scoping review of methods evaluated in simulation studies with single-point exposure (Q6629943) (← links)
• Statistical inference for time-to-event data in non-randomized cohorts with selective attrition (Q6630265) (← links)
• Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization (Q6631700) (← links)
• Summarizing causal differences in survival curves in the presence of unmeasured confounding (Q6636021) (← links)