Catherine Legrand

OverviewAI-generated summary

Catherine Legrand's research focuses on statistical methodologies for analyzing complex health data, particularly in the context of clinical trials and longitudinal studies. Her work has explored the use of interim analyses in randomized clinical trials with long-term endpoints, as well as the validation of surrogate markers using mediation analysis and joint modeling. She has investigated multimodal mixture regression for censored data with a cure fraction and developed methods for population stratification based on healthcare trajectories to support adaptive learning.

Legrand's research interests also extend to frailty models, which are used to analyze survival data where individuals may experience events related to aging or other time-dependent factors. Her recent publications include work on hypothermic machine perfusion for mitigating oxidative stress in kidney preservation and the application of frailty models in statistical analysis. She has a notable scholarly record with an h-index of 31, over 3,600 citations, and 158 publications, designating her as a highly cited researcher. Her collaborations include shared publications with Dinesh Bhattarai, Amod Sharma, Neriman Gökden, and Nirmala Parajuli, all at the University of Arkansas for Medical Sciences.

Metrics

• h-index: 31
• Publications: 158
• Citations: 3,640