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.

• Doubly robust estimation in causal inference with missing outcomes: with an application to the aerobics center longitudinal study (Q2076154) (← links)
• Analysing the causal effect of London cycle superhighways on traffic congestion (Q2078321) (← links)
• A new three-step method for using inverse propensity weighting with latent class analysis (Q2089295) (← links)
• Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (Q2105179) (← links)
• Bounds on the conditional and average treatment effect with unobserved confounding factors (Q2105186) (← links)
• Robust machine learning for treatment effects in multilevel observational studies under cluster-level unmeasured confounding (Q2141660) (← links)
• A two-stage optimal subsampling estimation for missing data problems with large-scale data (Q2143025) (← links)
• Robust Bayesian inference for big data: combining sensor-based records with traditional survey data (Q2154206) (← links)
• Impact evaluation of the LAPD community safety partnership (Q2154233) (← links)
• Augmented direct learning for conditional average treatment effect estimation with double robustness (Q2154959) (← links)
• Longitudinal mediation analysis of time-to-event endpoints in the presence of competing risks (Q2163811) (← links)
• Estimating causal effects with optimization-based methods: a review and empirical comparison (Q2171584) (← links)
• When and when not to use optimal model averaging (Q2208423) (← links)
• Kernel machines with missing responses (Q2209830) (← links)
• On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning (Q2218090) (← links)
• Robust doubly protected estimators for quantiles with missing data (Q2220805) (← links)
• A robust joint modeling approach for longitudinal data with informative dropouts (Q2228227) (← links)
• Robust inference when combining inverse-probability weighting and multiple imputation to address missing data with application to an electronic health records-based study of bariatric surgery (Q2233145) (← links)
• Achieving semiparametric efficiency bound in longitudinal data analysis with dropouts (Q2256745) (← links)
• On doubly robust estimation for logistic partially linear models (Q2273735) (← links)
• Improved precision in the analysis of randomized trials with survival outcomes, without assuming proportional hazards (Q2274689) (← links)
• Calibration estimation of semiparametric copula models with data missing at random (Q2274933) (← links)
• Subsidies, spillovers and exports (Q2292809) (← links)
• Robust and flexible estimation of stochastic mediation effects: a proposed method and example in a randomized trial setting (Q2324996) (← links)
• Automated versus do-it-yourself methods for causal inference: lessons learned from a data analysis competition (Q2325609) (← links)
• Semiparametric estimation in regression with missing covariates using single-index models (Q2330532) (← links)
• A further study of the multiply robust estimator in missing data analysis (Q2437867) (← links)
• The performance of estimators based on the propensity score (Q2440330) (← links)
• Doubly robust-type estimation for covariate adjustment in latent variable modeling (Q2517891) (← links)
• Efficient semiparametric estimation of multi-valued treatment effects under ignorability (Q2630202) (← links)
• The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters (Q2684684) (← links)
• Double-estimation-friendly inference for high-dimensional misspecified models (Q2684689) (← links)
• Estimating the average treatment effect in randomized clinical trials with all-or-none compliance (Q2686032) (← links)
• Bounded, efficient and doubly robust estimation with inverse weighting (Q2786375) (← links)
• Doubly robust and locally efficient estimation with missing outcomes (Q2796876) (← links)
• Predictive Bayesian inference and dynamic treatment regimes (Q2803424) (← links)
• Doubly robust inference for the distribution function in the presence of missing survey data (Q2821473) (← links)
• Model assessment in dynamic treatment regimen estimation via double robustness (Q2827197) (← links)
• A causal model for joint evaluation of placebo and treatment-specific effects in clinical trials (Q2846439) (← links)
• Robust location estimation with missing data (Q2852556) (← links)
• Combining the complete-data and nonresponse models for drawing imputations under MAR (Q2862386) (← links)
• Doubly misspecified models (Q2892087) (← links)
• Improved double-robust estimation in missing data and causal inference models (Q2892098) (← links)
• Doubly robust empirical likelihood inference in covariate-missing data problems (Q2953454) (← links)
• Improved Doubly Robust Estimation When Data Are Monotonely Coarsened, with Application to Longitudinal Studies with Dropout (Q3013983) (← links)
• Nonparametric likelihood and doubly robust estimating equations for marginal and nested structural models (Q3086517) (← links)
• Sensitivity analysis for causal inference using inverse probability weighting (Q3100766) (← links)
• Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates (Q3100783) (← links)
• Estimating Mean Cost Using Auxiliary Covariates (Q3100804) (← links)
• Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve (Q3120103) (← links)