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20212026
most citedOn model-based time trend adjustments in platform trials with non-concurrent controls

64 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2026

Finite-sample correction for the covariate-adjusted log-rank test

Pavla Krotka, Dominic Magirr

The covariate-adjusted log-rank test is a novel method for covariate adjustment in randomized trials with time-to-event endpoints, offering guaranteed efficiency gains compared to…

stat.ME2025

On the inclusion of non-concurrent controls in platform trials with an interim analysis

Pavla Krotka, Martin Posch, Marta Bofill Roig

The analysis of platform trials can be enhanced by utilizing non-concurrent controls. Since including this data might also introduce bias in the treatment effect estimators if time…

stat.ME2024★ 2 cited

Treatment-control comparisons in platform trials including non-concurrent controls

Marta Bofill Roig, Pavla Krotka, Katharina Hees +5

Shared controls in platform trials comprise concurrent and non-concurrent controls. For a given experimental arm, non-concurrent controls refer to data from patients allocated to t…

stat.ME2024★ 4 cited

Statistical modeling to adjust for time trends in adaptive platform trials utilizing non-concurrent controls

Pavla Krotka, Martin Posch, Mohamed Gewily +2

Utilizing non-concurrent control data (NCC) in the analysis of late-entering arms in platform trials has recently received considerable attention. While incorporating NCC can lead…

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…