Pages that link to "Item:Q3159868"

The following pages link to A paradox concerning nuisance parameters and projected estimating functions (Q3159868):

Displaying 35 items.

• Semi-supervised learning with density-ratio estimation (Q374187) (← links)
• Prediction in abundant high-dimensional linear regression (Q391850) (← links)
• A GMM interpretation of the paradox in the inverse probability weighting estimation of the average treatment effect on the treated (Q631285) (← links)
• A pairwise likelihood approach for longitudinal data with missing observations in both response and covariates (Q1615132) (← links)
• Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error (Q2042523) (← links)
• A class of weighted estimating equations for additive hazard models with covariates missing at random (Q2115300) (← links)
• Safe semi-supervised learning based on weighted likelihood (Q2339401) (← links)
• GMM redundancy results for general missing data problems (Q2628831) (← links)
• Robust Prediction of t-Year Survival with Data from Multiple Studies (Q3013973) (← links)
• Semiparametric median residual life model and inference (Q3086520) (← links)
• Fitting regression models with response-biased samples (Q3174230) (← links)
• On Bayesian estimation of marginal structural models (Q3459925) (← links)
• A PUZZLING PHENOMENON IN SEMIPARAMETRIC ESTIMATION PROBLEMS WITH INFINITE-DIMENSIONAL NUISANCE PARAMETERS (Q3551014) (← links)
• A paradox: more measurement error can lead to more efficient estimates (Q4269922) (← links)
• A Semiparametric Approach to Dimension Reduction (Q4916449) (← links)
• Dimensionality Reduction, Regularization, and Generalization in Overparameterized Regressions (Q5065466) (← links)
• Reweighting estimators for the additive hazards model with missing covariates (Q5166416) (← links)
• Connections between Survey Calibration Estimators and Semiparametric Models for Incomplete Data (Q5299793) (← links)
• Weighted Likelihood for Semiparametric Models and Two‐phase Stratified Samples, with Application to Cox Regression (Q5430599) (← links)
• Reply (Q5885389) (← links)
• Causal inference: Critical developments, past and future (Q6059423) (← links)
• Variance estimation in inverse probability weighted Cox models (Q6076525) (← links)
• Semiparametric Bayesian doubly robust causal estimation (Q6101696) (← links)
• Estimation in a general semiparametric hazards regression model with missing covariates (Q6106249) (← links)
• Causal inference under mis-specification: adjustment based on the propensity score (with discussion) (Q6122040) (← links)
• Minimum information divergence of Q-functions for dynamic treatment resumes (Q6138797) (← links)
• A Note on Information Bias and Efficiency of Composite Likelihood (Q6185142) (← links)
• Optimal Covariate Balancing Conditions in Propensity Score Estimation (Q6586890) (← links)
• Longitudinal incremental propensity score interventions for limited resource settings (Q6589287) (← links)
• Reconciling model-X and doubly robust approaches to conditional independence testing (Q6608673) (← links)
• Sample size calculation for randomized trials via inverse probability of response weighting when outcome data are missing at random (Q6617539) (← links)
• Using a monotone single-index model to stabilize the propensity score in missing data problems and causal inference (Q6625962) (← links)
• Bayesian inference for optimal dynamic treatment regimes in practice (Q6636232) (← links)
• How estimating nuisance parameters can reduce the variance (with consistent variance estimation) (Q6652609) (← links)
• A semiparametric method for risk prediction using integrated electronic health record data (Q6665515) (← links)