Pages that link to "Item:Q3129031"

The following pages link to Identification of Causal Effects Using Instrumental Variables (Q3129031):

Displaying 50 items.

• A generalized approach to power analysis for local average treatment effects (Q2218045) (← links)
• Invariance, causality and robustness (Q2218071) (← links)
• Outcome-wide longitudinal designs for causal inference: a new template for empirical studies (Q2218075) (← links)
• The identification region of the potential outcome distributions under instrument independence (Q2236893) (← links)
• On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable (Q2244592) (← links)
• Isolation in the construction of natural experiments (Q2258562) (← links)
• Analytic bounds on causal risk differences in directed acyclic graphs involving three observed binary variables (Q2272102) (← links)
• Identifying and estimating principal causal effects in a multi-site trial of early college high schools (Q2281188) (← links)
• Local average and quantile treatment effects under endogeneity: a review (Q2312975) (← links)
• Robust and flexible estimation of stochastic mediation effects: a proposed method and example in a randomized trial setting (Q2324996) (← links)
• An instrumental variables design for the effect of emergency general surgery (Q2325005) (← links)
• Estimating case-fatality reduction from randomized screening trials (Q2325021) (← links)
• Two-sample instrumental variable analyses using heterogeneous samples (Q2325638) (← links)
• Instrumental variables and the sign of the average treatment effect (Q2330735) (← links)
• Empirical likelihood for regression discontinuity design (Q2346018) (← links)
• Quantile regression with censoring and endogeneity (Q2346027) (← links)
• College performance predictions and the SAT (Q2439080) (← links)
• Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (Q2441865) (← links)
• A simple test for the ignorability of non-compliance in experiments (Q2446254) (← links)
• Estimation of causal effects using instrumental variables with nonignorable missing covariates: application to effect of type of delivery NICU on premature infants (Q2453655) (← links)
• A new instrumental method for dealing with endogenous selection (Q2630145) (← links)
• Heterogeneous treatment effects: instrumental variables without monotonicity? (Q2630199) (← links)
• Complex discontinuity designs using covariates: impact of school grade retention on later life outcomes in Chile (Q2686018) (← links)
• Estimating the average treatment effect in randomized clinical trials with all-or-none compliance (Q2686032) (← links)
• A likelihood-based analysis for relaxing the exclusion restriction in randomized experiments with noncompliance (Q2802836) (← links)
• Estimating treatment effect in a proportional hazards model in randomized clinical trials with all-or-nothing compliance (Q2827183) (← links)
• Bounds on the average causal effects in randomized trials with noncompliance by covariate adjustment (Q2833467) (← links)
• Approaches to the estimation of the local average treatment effect in a regression discontinuity design (Q2835305) (← links)
• Marginal structural models for estimating principal stratum direct effects under the monotonicity assumption (Q2889674) (← links)
• Inference for the effect of treatment on survival probability in randomized trials with noncompliance and administrative censoring (Q2893398) (← links)
• Predicting treatment effect from surrogate endpoints and historical trials: an extrapolation involving probabilities of a binary outcome or survival to a specific time (Q2894011) (← links)
• A general dynamical statistical model with causal interpretation (Q2920265) (← links)
• Semiparametric estimation and inference for distributional and general treatment effects (Q2920287) (← links)
• Estimating peer effects in longitudinal dyadic data using instrumental variables (Q2927599) (← links)
• Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood (Q2927630) (← links)
• INSTRUMENTAL VARIABLES METHODS WITH HETEROGENEITY AND MISMEASURED INSTRUMENTS (Q2981826) (← links)
• Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self-Selected Right Censoring (Q3078736) (← links)
• Compliance Subsampling Designs for Comparative Research: Estimation and Optimal Planning (Q3078837) (← links)
• Principal Stratification in Causal Inference (Q3078899) (← links)
• A Causal Proportional Hazards Estimator for the Effect of Treatment Actually Received in a Randomized Trial with All-or-Nothing Compliance (Q3079081) (← links)
• A Case-Control Follow-up Study for Disease-Specific Mortality (Q3079083) (← links)
• Estimating Causal Treatment Effects from Longitudinal HIV Natural History Studies Using Marginal Structural Models (Q3079092) (← links)
• Sensitivity Analysis for the Assessment of Causal Vaccine Effects on Viral Load in HIV Vaccine Trials (Q3079146) (← links)
• Estimation of a semiparametric recursive bivariate probit model in the presence of endogeneity (Q3087590) (← links)
• Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve (Q3120103) (← links)
• Econometric Causality (Q3182007) (← links)
• Identifiability and Estimation of Causal Effects in Randomized Trials with Noncompliance and Completely Nonignorable Missing Data (Q3183200) (← links)
• The broad role of multiple imputation in statistical science (Q3297916) (← links)
• Identification of causal effects on binary outcomes using structural mean models (Q3303637) (← links)
• Estimation of Heterogeneous Individual Treatment Effects With Endogenous Treatments (Q3304850) (← links)