Pages that link to "Item:Q4843693"

The following pages link to Correcting for non-compliance in randomized trials using structural nested mean models (Q4843693):

Displaying 50 items.

• Instrumental variables: an econometrician's perspective (Q252714) (← links)
• Think globally, act globally: an epidemiologist's perspective on instrumental variable estimation (Q252723) (← links)
• Nonparametric bounds and sensitivity analysis of treatment effects (Q252812) (← links)
• \(Q\)- and \(A\)-learning methods for estimating optimal dynamic treatment regimes (Q252819) (← links)
• Structural nested models and G-estimation: the partially realized promise (Q252829) (← links)
• Estimating structural mean models with multiple instrumental variables using the generalised method of moments (Q254415) (← links)
• The stochastic system approach for estimating dynamic treatments effect (Q269758) (← links)
• Analysis of treatment response data from eligibility designs (Q295408) (← links)
• Defining and estimating intervention effects for groups that will develop an auxiliary outcome (Q449753) (← links)
• On instrumental variables estimation of causal odds ratios (Q449850) (← links)
• Assumptions of IV methods for observational epidemiology (Q903300) (← links)
• Estimation of survival quantiles in two-stage randomization designs (Q1011545) (← links)
• Tree-based reinforcement learning for estimating optimal dynamic treatment regimes (Q1621050) (← links)
• Instrumental variable estimation with a stochastic monotonicity assumption (Q1704705) (← links)
• Linear regression for uplift modeling (Q1741425) (← links)
• Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding (Q2001884) (← links)
• Robust inference for mediated effects in partially linear models (Q2066605) (← links)
• Instrumental variable estimation of early treatment effect in randomized screening trials (Q2074076) (← links)
• The GENIUS approach to robust Mendelian randomization inference (Q2075701) (← links)
• Assessing treatment effect through compliance score in randomized trials with noncompliance (Q2080744) (← links)
• Intention-to-treat comparisons in randomized trials (Q2163074) (← links)
• Estimating mode effects from a sequential mixed-mode experiment using structural moment models (Q2170411) (← links)
• Instrumental variable estimation with the R package \texttt{vtools} (Q2192298) (← links)
• Sharp instruments for classifying compliers and generalizing causal effects (Q2215722) (← links)
• Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study (Q2218059) (← links)
• Identification in nonparametric models for dynamic treatment effects (Q2236887) (← links)
• A semiparametric modeling approach using Bayesian additive regression trees with an application to evaluate heterogeneous treatment effects (Q2281248) (← links)
• Statistical analysis and evaluation of macroeconomic policies: a selective review (Q2307816) (← links)
• Optimal restricted estimation for more efficient longitudinal causal inference (Q2343651) (← links)
• Causal inference for continuous-time processes when covariates are observed only at discrete times (Q2429926) (← links)
• Identifiability of models for clinical trials with noncompliance (Q2492603) (← links)
• Estimating the average treatment effect in randomized clinical trials with all-or-none compliance (Q2686032) (← links)
• Comparing treatment policies with assistance from the structural nested mean model (Q2805172) (← links)
• New methods for treatment effect calibration, with applications to non-inferiority trials (Q2805173) (← links)
• Using decision lists to construct interpretable and parsimonious treatment regimes (Q2809514) (← links)
• Effect of vitamin A deficiency on respiratory infection: causal inference for a discretely observed continuous time non-stationary Markov process (Q2856565) (← links)
• Nonparametric inference for assessing treatment efficacy in randomized clinical trials with a time-to-event outcome and all-or-none compliance (Q2892094) (← links)
• Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood (Q2927630) (← links)
• Regret-Regression for Optimal Dynamic Treatment Regimes (Q3076050) (← links)
• Estimating Optimal Dynamic Regimes: Correcting Bias under the Null (Q3077785) (← links)
• Compliance Subsampling Designs for Comparative Research: Estimation and Optimal Planning (Q3078837) (← links)
• The Intensity-Score Approach to Adjusting for Confounding (Q3079109) (← links)
• Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve (Q3120103) (← links)
• Estimation of treatment effects in randomised trials with non-compliance and a dichotomous outcome using structural mean models (Q3159856) (← links)
• Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models (Q3183243) (← links)
• Identification of causal effects on binary outcomes using structural mean models (Q3303637) (← links)
• A structural mean model to allow for noncompliance in a randomized trial comparing 2 active treatments (Q3303668) (← links)
• Analysis of Times to Repeated Events in Two-Arm Randomized Trials with Noncompliance and Dependent Censoring (Q3445339) (← links)
• Structural Nested Mean Models for Assessing Time-Varying Effect Moderation (Q3561810) (← links)
• Optimal<i>A Priori</i>Balance in the Design of Controlled Experiments (Q4603815) (← links)