8 citations · 9 across the 4 of their papers we have counts for
4 papers
Augmenting control arms with Real-World Data for cancer trials: Hybrid control arm methods and considerations
W. Katherine Tan, Brian D. Segal, Melissa D. Curtis +9
Randomized controlled trials (RCTs) are the gold standard for assessing drug safety and efficacy. However, RCTs have some drawbacks which have led to the use of single-arm studies…
Predictive case control designs for modification learning
W Katherine Tan, Patrick J Heagerty
Prediction models for clinical outcomes may be developed using a source dataset and additionally applied to new settings. Towards model external validation and model updating in th…
A note on the amount of information borrowed from external data in hybrid controlled trials with time-to-event outcomes
Brian D. Segal, W. Katherine Tan
In situations where it is difficult to enroll patients in randomized controlled trials, external data can improve efficiency and feasibility. In such cases, adaptive trial designs…
Surrogate-guided sampling designs for classification of rare outcomes from electronic medical records data
W. Katherine Tan, Patrick J. Heagerty
Scalable and accurate identification of specific clinical outcomes has been enabled by machine-learning applied to electronic medical record (EMR) systems. The development of class…