activity
20122023
most citedOn model-based time trend adjustments in platform trials with non-concurrent controls

64 citations · 133 across the 9 of their papers we have counts for

collaborators

9 papers

stat.ME2023★ 7 cited

NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls

Pavla Krotka, Katharina Hees, Peter Jacko +3

Platform trials evaluate the efficacy of multiple treatments, allowing for late entry of the experimental arms and enabling efficiency gains by sharing controls. The power of indiv…

stat.ME2021★ 64 cited

On model-based time trend adjustments in platform trials with non-concurrent controls

Marta Bofill Roig, Pavla Krotka, Carl-Fredrik Burman +9

Platform trials can evaluate the efficacy of several treatments compared to a control. The number of treatments is not fixed, as arms may be added or removed as the trial progresse…

math.OC2020★ 3 cited

An Efficient Approach to Distributionally Robust Network Capacity Planning

Trivikram Dokka, Francis Garuba, Marc Goerigk +1

In this paper, we consider a network capacity expansion problem in the context of telecommunication networks, where there is uncertainty associated with the expected traffic demand…

math.OC2020★ 2 cited

A Comparison of Discrete and Polyhedral Uncertainty Sets for Robust Network Design

Francis Garuba, Marc Goerigk, Peter Jacko

We consider a network design and expansion problem, where we need to make a capacity investment now, such that uncertain future demand can be satisfied as closely as possible. To u…

math.OC2019★ 10 cited

The Finite-Horizon Two-Armed Bandit Problem with Binary Responses: A Multidisciplinary Survey of the History, State of the Art, and Myths

Peter Jacko

In this paper we consider the two-armed bandit problem, which often naturally appears per se or as a subproblem in some multi-armed generalizations, and serves as a starting point…

math.OC2019

A Comparison of Models for Uncertain Network Design

Francis Garuba, Marc Goerigk, Peter Jacko

To solve a real-world problem, the modeler usually needs to make a trade-off between model complexity and usefulness. This is also true for robust optimization, where a wide range…