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Demystify Doubly-Robust Estimation: The Role of Overlap
Chengxin Yang, Laine E. Thomas, Fan Li
The doubly-robust (DR) estimator is popular for evaluating causal effects in observational studies and is often perceived as more desirable than inverse probability weighting (IPW)…
What is Overlap Weighting, How Has it Evolved, and When to Use It for Causal Inference?
Haidong Lu, Fan Li, Laine E. Thomas
The growing availability of large health databases has expanded the use of observational studies for comparative effectiveness research. Unlike randomized trials, observational stu…
Leveraging External Controls in Clinical Trials: Estimands, Estimation, Assumptions
Bo Liu, Laine Thomas, Rury R. Holman +1
It is increasingly common to augment randomized controlled trial with external controls from observational data, to evaluate the treatment effect of an intervention. Traditional ap…
Integrating Randomized Controlled Trial and External Control Data Using Balancing Weights: A Comparison of Estimands and Estimators
Peijin Wang, Hwanhee Hong, Kyungeun Jeon +1
Randomized controlled trials (RCTs) face inherent limitations, such as ethical or resource constraints, which lead to a limited number of study participants. To address these limit…