Causal inference methods for combining randomized trials and observational studies: a review

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Title not available (Why is that?)
Instrumental variables: an econometrician's perspective
External validity: from do-calculus to transportability across populations
Predicting the efficacy of future training programs using past experiences at other locations
Generalized random forests
Statistical data integration in survey sampling: a review
Matching methods for causal inference: a review and a look forward
Graphical models for inference under outcome-dependent sampling
Causal inference in statistics: an overview
On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Translated from the Polish and edited by D. M. Dąbrowska and T. P. Speed
Probabilities of causation: Bounds and identification
A simple approximation for evaluating external validity bias
Doubly robust treatment effect estimation with missing attributes
Logistic regression with missing covariates -- parameter estimation, model selection and prediction within a joint-modeling framework
Sensitivity analysis for an unobserved moderator in RCT-to-target-population generalization of treatment effects
Commensurate priors for incorporating historical information in clinical trials using general and generalized linear models
Identification of Causal Effects Using Instrumental Variables
Adjusting for selection bias in retrospective, case-control studies
A Distributional Approach for Causal Inference Using Propensity Scores
Robust meta‐analytic‐predictive priors in clinical trials with historical control information
Causal diagrams for empirical research
Inference and missing data
Robust Estimation of Encouragement Design Intervention Effects Transported Across Sites
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
Doubly Robust Inference when Combining Probability and Non-Probability Samples with High Dimensional Data
Double/debiased machine learning for treatment and structural parameters
Combining Multiple Observational Data Sources to Estimate Causal Effects
Generalizing causal inferences from individuals in randomized trials to all trial‐eligible individuals
Causal Inference for Statistics, Social, and Biomedical Sciences
Clinical Trials with Missing Data
Observational studies.
Improving Trial Generalizability Using Observational Studies
Targeted optimal treatment regime learning using summary statistics
A note on semiparametric efficient generalization of causal effects from randomized trials to target populations
Leveraging population outcomes to improve the generalization of experimental results: application to the JTPA study
Transfer Learning of Individualized Treatment Rules from Experimental to Real-World Data
Generalizing treatment effects with incomplete covariates: identifying assumptions and multiple imputation algorithms
Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation
Sensitivity analysis using bias functions for studies extending inferences from a randomized trial to a target population
Extending inferences from a randomized trial to a new target population
Generalizing randomized trial findings to a target population using complex survey population data
Transporting experimental results with entropy balancing
Generalizing from unrepresentative experiments: a stratified propensity score approach
From sample average treatment effect to population average treatment effect on the treated: combining experimental with observational studies to estimate population treatment effects
Perils and potentials of self-selected entry to epidemiological studies and surveys
Generalizing evidence from randomized trials using inverse probability of sampling weights

This page was built for publication: Causal inference methods for combining randomized trials and observational studies: a review

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6540240)