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09/11/2023
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation
There are now many options for doubly robust estimation; however, there ...
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05/17/2023
Sharp symbolic nonparametric bounds for measures of benefit in observational and imperfect randomized studies with ordinal outcomes
The probability of benefit is a valuable and important measure of treatm...
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09/08/2022
Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface
Strong untestable assumptions are almost universal in causal point estim...
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08/21/2022
Flexible evaluation of surrogacy in Bayesian adaptive platform studies
Trial level surrogates are useful tools for improving the speed and cost...
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12/27/2021
Sharp nonparametric bounds for decomposition effects with two binary mediators
In randomized trials, once the total effect of the intervention has been...
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10/11/2020
Nonparametric bounds for causal effects in imperfect randomized experiments
Nonignorable missingness and noncompliance can occur even in well-design...
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03/24/2020
Symbolic Computation of Tight Causal Bounds
Causal inference involves making a set of assumptions about the nature o...
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02/24/2020
Causal bounds for outcome-dependent sampling in observational studies
Outcome-dependent sampling designs are common in many different scientif...
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01/08/2020
A note on Horvitz-Thompson estimators for rare subgroup analysis in the presence of interference
When there is interference, a subject's outcome depends on the treatment...
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08/29/2019
Aim for clinical utility, not just predictive accuracy
The predictions from an accurate prognostic model can be of great intere...
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02/07/2019