Pages that link to "Item:Q4489921"
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The following pages link to Assessing the effect of an influenza vaccine in an encouragement design (Q4489921):
Displaying 50 items.
- Nonparametric IV estimation of local average treatment effects with covariates (Q100500) (← links)
- Instrumental variables: an econometrician's perspective (Q252714) (← links)
- Analysis of treatment response data from eligibility designs (Q295408) (← links)
- Robust modeling using non-elliptically contoured multivariate \(t\) distributions (Q301357) (← links)
- On instrumental variables estimation of causal odds ratios (Q449850) (← links)
- Modeling and calculating the effect of treatment at baseline from panel outcomes (Q451275) (← links)
- The potential for bias in principal causal effect estimation when treatment received depends on a key covariate (Q652349) (← links)
- Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (Q878277) (← links)
- Analyzing a randomized experiment with imperfect compliance and ignorable conditions for missing data: theoretical and computational issues (Q956948) (← links)
- Semiparametric instrumental variable estimation of treatment response models. (Q1869857) (← links)
- The GENIUS approach to robust Mendelian randomization inference (Q2075701) (← links)
- Identification of causal effects within principal strata using auxiliary variables (Q2075703) (← links)
- A generalized approach to power analysis for local average treatment effects (Q2218045) (← links)
- Living with influenza: Impacts of government imposed and voluntarily selected interventions (Q2378367) (← links)
- Exploiting multiple outcomes in Bayesian principal stratification analysis with application to the evaluation of a job training program (Q2441865) (← links)
- A likelihood-based analysis for relaxing the exclusion restriction in randomized experiments with noncompliance (Q2802836) (← links)
- Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance (Q2861822) (← links)
- Principal Stratification in Causal Inference (Q3078899) (← links)
- The broad role of multiple imputation in statistical science (Q3297916) (← links)
- Methods for clustered encouragement design studies with noncompliance and missing data (Q3303679) (← links)
- Bayesian inference for causal mediation effects using principal stratification with dichotomous mediators and outcomes (Q3305026) (← links)
- Multiple Imputation Methods for Treatment Noncompliance and Nonresponse in Randomized Clinical Trials (Q3623743) (← links)
- Causal Inference with Generalized Structural Mean Models (Q4670776) (← links)
- Direct and Indirect Causal Effects via Potential Outcomes* (Q4677086) (← links)
- Instrumental Variable Estimators for Binary Outcomes (Q4904739) (← links)
- Compliance Mixture Modelling with a Zero‐Effect Complier Class and Missing Data (Q4911925) (← links)
- Bayesian Inference for Dynamic Treatment Regimes: Mobility, Equity, and Efficiency in Student Tracking (Q4916441) (← links)
- The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches (Q4970182) (← links)
- Catalytic prior distributions with application to generalized linear models (Q5073071) (← links)
- Identification of Treatment Effects on the Treated with One-Sided Non-Compliance (Q5080551) (← links)
- On finite-population Bayesian inferences for 2<sup><i>K</i></sup> factorial designs with binary outcomes (Q5107365) (← links)
- Nonparametric Bayesian Instrumental Variable Analysis: Evaluating Heterogeneous Effects of Coronary Arterial Access Site Strategies (Q5146014) (← links)
- Design, Identification, and Sensitivity Analysis for Patient Preference Trials (Q5208058) (← links)
- Uses and limitations of randomization-based efficacy estimators (Q5424959) (← links)
- Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysis (Q5424960) (← links)
- Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods (Q5424963) (← links)
- Uses and limitations of randomization-based efficacy estimators (Q5442623) (← links)
- Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysis (Q5442624) (← links)
- Estimating treatment effects from randomized clinical trials with noncompliance and loss to follow-up: the role of instrumental variable methods (Q5442625) (← links)
- Application of the Principal Stratification Approach to the Faenza Randomized Experiment on Breast Self‐Examination (Q5459587) (← links)
- Clustered Encouragement Designs with Individual Noncompliance: Bayesian Inference with Randomization, and Application to Advance Directive Forms (Q5701136) (← links)
- Likelihood Methods for Treatment Noncompliance and Subsequent Nonresponse in Randomized Trials (Q5714614) (← links)
- Rejoinder (Q5891753) (← links)
- Estimating causal effects of community health financing via principal stratification (Q6088753) (← links)
- Instrumental variable analysis for cost outcome: Application to the effect of primary care visit on medical cost among low‐income adults (Q6149273) (← links)
- Identifying treatment effects in the presence of confounded types (Q6163245) (← links)
- Principal stratification for quantile causal effects under partial compliance (Q6560457) (← links)
- Estimation of treatment effect among treatment responders with a time-to-event endpoint (Q6608188) (← links)
- Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance (Q6617750) (← links)
- High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables (Q6620989) (← links)
