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Estimating Treatment-Covariate Interactions and Main Effects in Generalized Additive Partial Linear Models with Noncompliance Using Rubin Causal Model

https://doi.org/10.2139/ssrn.4679548
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Model misspecification sensitivity analysis in estimating causal effects of interventions with non‐compliance
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On the use of propensity scores in principal causal effect estimation
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The Bootstrap and Edgeworth Expansion
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Identification and Estimation of Generalized Additive Partial Linear Models with Nonignorable Missing Response
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A note on the identifiability of nonparametric and semiparametric mixtures of GLMs
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Semiparametric instrumental variable estimation of treatment response models
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Microeconometrics
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Statistical techniques for analyzing data from prevention trials: Treatment of no-shows using Rubin's causal model.
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Identification of Causal Effects Using Instrumental Variables
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To Adjust or not to Adjust? Estimating the Average Treatment Effect in Randomized Experiments with Missing Covariates
inferredcites →https://doi.org/10.1080/07350015.2021.1970575openalex-extracted
High-Dimensional Model-Assisted Inference for Local Average Treatment Effects With Instrumental Variables
inferredcites →https://doi.org/10.1093/pan/mpl013openalex-extracted
Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
inferredcites →https://doi.org/10.1111/anzs.12025openalex-extracted
A Likelihood‐Based Analysis for Relaxing the Exclusion Restriction in Randomized Experiments with Noncompliance
inferredcites →https://doi.org/10.1111/biom.13028openalex-extracted
A Bayesian Hierarchical Model Estimating CACE in Meta-Analysis of Randomized Clinical Trials With Noncompliance
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Principal Stratification in Causal Inference
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1111/rssb.12078openalex-extracted
Doubly Robust Estimation of the Local Average Treatment Effect Curve
inferredcites →https://doi.org/10.1198/016214503000071openalex-extracted
Principal Stratification Approach to Broken Randomized Experiments
inferredcites →https://doi.org/10.1214/11-aos885openalex-extracted
Estimation and variable selection for generalized additive partial linear models
inferredcites →https://doi.org/10.1214/11-aos885suppopenalex-extracted
inferredcites →https://doi.org/10.1214/aos/1034276631openalex-extracted
Bayesian inference for causal effects in randomized experiments with noncompliance
inferredcites →https://doi.org/10.1515/jci-2019-0019openalex-extracted
A Two-Stage Joint Modeling Method for Causal Mediation Analysis in the Presence of Treatment Noncompliance
inferredcites →https://doi.org/10.2307/2287653openalex-extracted
Randomization Analysis of Experimental Data: The Fisher Randomization Test Comment
inferredcites →https://doi.org/10.2307/2291629openalex-extracted
Identification of Causal Effects Using Instrumental Variables
inferredcites →https://doi.org/10.2307/2348768openalex-extracted
On the Choice of Starting Values for the EM Algorithm in Fitting Mixture Models
inferredcites →https://doi.org/10.3102/1076998620908599openalex-extracted
Sensitivity Evaluation of Methods for Estimating Complier Average Causal Mediation Effects to Assumptions
inferredcites →https://doi.org/10.48550/arxiv.1602.06595openalex-extracted
Weak separation in mixture models and implications for principal stratification
inferredcites →https://doi.org/10.48550/arxiv.2009.09286openalex-extracted
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables
inferredcites →https://doi.org/10.48550/arxiv.2202.02096openalex-extracted
To Impute or not to Impute? Missing Data in Treatment Effect Estimation
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