19 citations · 26 across the 6 of their papers we have counts for
6 papers
Combining Real-World and Randomized Control Trial Data Using Data-Adaptive Weighting via the On-Trial Score
Joanna Harton, Brian Segal, Ronac Mamtani +2
Clinical trials with a hybrid control arm (a control arm constructed from a combination of randomized patients and real-world data on patients receiving usual care in standard clin…
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…
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…
Towards replicability with confidence intervals for the exceedance probability
Brian D. Segal
Several scientific fields including psychology are undergoing a replication crisis. There are many reasons for this problem, one of which is a misuse of p-values. There are several…
P-splines with an l1 penalty for repeated measures
Brian D. Segal, Michael R. Elliott, Thomas Braun +1
P-splines are penalized B-splines, in which finite order differences in coefficients are typically penalized with an norm. P-splines can be used for semiparametric regress…
Fast Approximation of Small p-values in Permutation Tests by Partitioning the Permutations
Brian Segal, Thomas Braun, Michael Elliott +1
Researchers in genetics and other life sciences commonly use permutation tests to evaluate differences between groups. Permutation tests have desirable properties, including exactn…