The fragility of standard inferential approaches in principal stratification models relative to direct likelihood approaches
From MaRDI portal
Publication:4970182
DOI10.1002/sam.11299OpenAlexW2280434835MaRDI QIDQ4970182
Donald B. Rubin, Fabrizia Mealli, Paolo Frumento, Barbara Pacini
Publication date: 14 October 2020
Published in: Statistical Analysis and Data Mining: The ASA Data Science Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/sam.11299
Related Items
Causal inference: a missing data perspective, Identification of causal effects within principal strata using auxiliary variables
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
- Bayesian inference for causal effects in randomized experiments with noncompliance
- Causal inference through potential outcomes and principal stratification: application to studies with ``censoring due to death
- Likelihood-based confidence sets for partially identified parameters
- Note on the consistency of the maximum likelihood estimate for nonidentifiable distributions
- Likelihood of a model and information criteria
- Estimating the dimension of a model
- Bayesian inference for causal effects: The role of randomization
- Using a likelihood perspective to sharpen econometric discourse: Three examples
- Using Secondary Outcomes to Sharpen Inference in Randomized Experiments With Noncompliance
- Principal Stratification in Causal Inference
- Maximum likelihood estimation via the ECM algorithm: A general framework
- Consistency of the Maximum Likelihood Estimator in the Presence of Infinitely Many Incidental Parameters
- An Iterative Procedure for Obtaining Maximum-Likelihood Estimates of the Parameters for a Mixture of Normal Distributions
- Inference and missing data
- Ellipsoidally symmetric extensions of the general location model for mixed categorical and continuous data
- Statistical Evidence
- Parameter expansion to accelerate EM: the PX-EM algorithm
- Assessing the effect of an influenza vaccine in an encouragement design
- Evaluating the Effect of Training on Wages in the Presence of Noncompliance, Nonemployment, and Missing Outcome Data
- Likelihood-Based Analysis of Causal Effects of Job-Training Programs Using Principal Stratification
- Causal Inference for Statistics, Social, and Biomedical Sciences
- Sensitivity Analyses Comparing Time-to-Event Outcomes Existing Only in a Subset Selected Postrandomization
- DIC in variable selection
- Estimating the components of a mixture of normal distributions
- On the Distribution of the Likelihood Ratio