Catherine Legrand

OverviewAI-generated summary

Catherine Legrand's research focuses on statistical methodologies for health sciences, particularly in the analysis of clinical trials and longitudinal health data. Her work includes the development and validation of statistical models to address complex data structures and clinical questions. She has investigated methods for interim analyses in randomized clinical trials, utilizing early outcomes to inform trial progression while maintaining statistical rigor for long-term endpoints.

Legrand has also explored advanced statistical techniques such as multimodal mixture regression on censored data with a cure fraction and the validation of surrogate markers using mediation analysis and joint modeling. Her research extends to population stratification based on healthcare trajectories, aiming to improve adaptive learning in healthcare systems. She has also published on frailty models, which are used to analyze time-to-event data with covariates. Her scholarship metrics include an h-index of 31, with 158 total publications and 3,603 citations, designating her as a highly cited researcher. She has collaborated with several researchers at the University of Arkansas for Medical Sciences, including Dinesh Bhattarai, Amod Sharma, Neriman Gökden, and Nirmala Parajuli.

Metrics

• h-index: 31
• Publications: 158
• Citations: 3,603