output
20092024
most citedSurvival analysis for AdVerse events with VarYing follow-up times (SAVVY) -- estimation of adverse event risks

28 citations

researchers with a paper here
collaborating institutions

5 papers

stat.ME2024★ 1 cited

Statistical Operating Characteristics of Current Early Phase Dose Finding Designs with Toxicity and Efficacy in Oncology

Hao Sun, Hsin-Yu Lin, Jieqi Tu +2

Traditional phase I dose finding cancer clinical trial designs aim to determine the maximum tolerated dose (MTD) of the investigational cytotoxic agent based on a single toxicity o…

stat.AP2020★ 28 cited

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…

stat.AP2020★ 4 cited

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)…

q-bio.TO2019

Review of Quantitative Systems Pharmacological Modeling in Thrombosis

Limei Cheng, Guo-Wei Wei, Tarek Leil

Hemostasis and thrombosis are often thought as two sides of the same clotting mechanism whereas hemostasis is a natural protective mechanism to prevent bleeding and thrombosis is a…

stat.AP2009★ 6 cited

Statistical modeling of the time course of tantrum anger

Peihua Qiu, Rong Yang, Michael Potegal

Although anger is an important emotion that underlies much overt aggression at great social cost, little is known about how to quantify anger or to specify the relationship between…