31 citations · 88 across the 12 of their papers we have counts for
5 papers · 1 filter
Design aspects of COVID-19 treatment trials: Improving probability and time of favourable events
Jan Beyersmann, Tim Friede, Claudia Schmoor
As a reaction to the pandemic of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a multitude of clinical trials for the treatment of SARS-CoV-2 or the resulting c…
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) -- estimation of adverse event risks
Regina Stegherr, Claudia Schmoor, Jan Beyersmann +12
The SAVVY project aims to improve the analyses of adverse event (AE) data in clinical trials through the use of survival techniques appropriately dealing with varying follow-up tim…
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY) -- comparison of adverse event risks in randomized controlled trials
Kaspar Rufibach, Regina Stegherr, Claudia Schmoor +12
Analyses of adverse events (AEs) are an important aspect of the evaluation of experimental therapies. The SAVVY (Survival analysis for AdVerse events with Varying follow-up times)…
Estimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
Alexandra Niessl, Arthur Allignol, Carina Mueller +1
The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently left-truncated and right-censored survival data to estimating the transition probability matri…
Estimating and comparing adverse event probabilities in the presence of varying follow-up times and competing events
Regina Stegherr, Claudia Schmoor, Michael Lübbert +2
Safety analyses in terms of adverse events (AEs) are an important aspect of benefit-risk assessments of therapies. Compared to efficacy analyses AE analyses are often rather simpli…