activity
20112026
most citedHIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data

5 citations · 6 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2026

Improving Longitudinal Targeted Maximum Likelihood Estimation in Target Trial Emulation using Joint Calibrated Weights

Juliette M. Limozin, Shaun R. Seaman, Li Su

In target trial emulation (TTE), marginal structural models (MSMs) can be used to characterise per-protocol treatment effects over time. The MSM parameters are often estimated by i…

stat.ME2023

Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators

Sean Yiu, Li Su

Irregular longitudinal data with informative visit times arise when patients' visits are partly driven by concurrent disease outcomes. However, existing methods such as inverse int…

stat.AP2021★ 1 cited

Modelling disease progression with multi-level electronic health records data and informative observation times: an application to treating iron deficiency anaemia in primary care of the UK

Li Su, Yafeng Cheng, Dora I. A. Pereira +1

Modelling disease progression of iron deficiency anaemia (IDA) following oral iron supplement prescriptions is a prerequisite for evaluating the cost-effectiveness of oral iron sup…

stat.AP2011★ 5 cited

HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data

Li Su, Joseph W. Hogan

Hepatitis C virus (HCV) coinfection has become one of the most challenging clinical situations to manage in HIV-infected patients. Recently the effect of HCV coinfection on HIV dyn…