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

B Colnet, I Mayer, G Chen, A Dieng, R Li… - Statistical …, 2024 - projecteuclid.org
The supplementary material contains details on treatment effect estimation performed
separately on RCT data (Section A) and on observational data (Section B), derivations of the …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li… - arXiv preprint arXiv …, 2020 - openreview.net
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li… - arXiv e …, 2020 - ui.adsabs.harvard.edu
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux… - 2023 - cea.hal.science
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li… - arXiv preprint arXiv …, 2020 - arxiv.org
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux… - 2023 - hal-cea.archives-ouvertes.fr
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

[PDF][PDF] Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review

B Colnet, I Mayer, G Chen, A Dieng… - Statistical …, 2024 - shuyang.wordpress.ncsu.edu
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review

B Colnet, I Mayer, G Chen, A Dieng, R Li… - Statistical …, 2024 - projecteuclid.org
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux… - research.google
With increasing data availability, treatment causal effects can be evaluated across different
dataset, both randomized trials and observational studies. Randomized trials isolate the …

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

B Colnet, I Mayer, G Chen, A Dieng, R Li, G Varoquaux… - 2023 - inria.hal.science
With increasing data availability, causal effects can be evaluated across different data sets,
both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect …