Pages that link to "Item:Q5701136"

The following pages link to Clustered Encouragement Designs with Individual Noncompliance: Bayesian Inference with Randomization, and Application to Advance Directive Forms (Q5701136):

Displaying 19 items.

• Bayesian inference for causal effects in randomized experiments with noncompliance (Q153354) (← links)
• The potential for bias in principal causal effect estimation when treatment received depends on a key covariate (Q652349) (← links)
• The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance evaluation (Q900473) (← links)
• Bounding the local average treatment effect in an instrumental variable analysis of engagement with a mobile intervention (Q2135335) (← links)
• A powerful and robust test statistic for randomization inference in group-randomized trials with matched pairs of groups (Q2893984) (← links)
• Principal Stratification in Causal Inference (Q3078899) (← links)
• Methods for clustered encouragement design studies with noncompliance and missing data (Q3303679) (← links)
• An Extended General Location Model for Causal Inferences from Data Subject to Noncompliance and Missing Values (Q3445276) (← links)
• Multiple Imputation Methods for Treatment Noncompliance and Nonresponse in Randomized Clinical Trials (Q3623743) (← links)
• Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysis (Q5424960) (← links)
• Designs in partially controlled studies: messages from a review (Q5424965) (← links)
• Simple maximum likelihood estimates of efficacy in randomized trials and before-and-after studies, with implications for meta-analysis (Q5442624) (← links)
• Designs in partially controlled studies: messages from a review (Q5442627) (← links)
• A Potential Outcomes Approach to Developmental Toxicity Analyses (Q5492072) (← links)
• Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio (Q6055715) (← links)
• A mixed model approach to estimate the survivor average causal effect in cluster-randomized trials (Q6560456) (← links)
• Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance (Q6617750) (← links)
• Estimating causal effects of treatment in RCTs with provider and subject noncompliance (Q6625678) (← links)
• What are the statistical implications of treatment non-compliance in cluster randomized trials: a simulation study (Q6627226) (← links)