Dr Qiuju Li

Research Fellow in Medical Statistics

United Kingdom

Email
Qiuju

I am a Research Fellow in Medical Statistics in the Department of Health Services Research & Policy.

Affiliations

Department of Health Services Research and Policy

Faculty of Public Health and Policy

Teaching

I am a seminar leader of practical sessions for Basic Statistics for PHP, and a personal tutor and project supervisor for MSc Public Health. I am an associate fellow of the Higher Education Academy.

Research

I have a long-standing interest in the development of statistical methodology and data analysis for longitudinal and survival data. It includes the development of new statistical methodology and application of existing methods to real-world data. I mostly work with large datasets with data collected from observational studies and/or electronic health records.

Key words: medical statistics, longitudinal data analysis, survival data analysis, observational studies, peripheral arterial disease

Research Area

Statistical methods

Epidemiology

Health services research

Health outcomes

Selected Publications

Delays to revascularization for patients with chronic limb-threatening ischaemia.

LI, Q; Birmpili, P; Johal, AS; Waton, S; Pherwani, AD; Boyle, JR; CROMWELL, DA;

2022

British Journal of Surgery

Cerebrovascular Events in Systemic Lupus Erythematosus: Results From an International Inception Cohort Study.

Hanly, JG; LI, Q; Su, L; Urowitz, MB; Gordon, C; Bae, S-C; Romero-Diaz, J; Sanchez-Guerrero, J; Bernatsky, S; Clarke, AE; Wallace, DJ; Isenberg, DA; Rahman, A; Merrill, JT; Fortin, P; Gladman, DD; Bruce, IN; Petri, M; Ginzler, EM; Dooley, MA; Steinsson, K; Ramsey-Goldman, R; Zoma, AA; Manzi, S; Nived, O; ... Farewell, V.

2018

Arthritis care & research

Accommodating informative dropout and death: a joint modelling approach for longitudinal and semi-competing risks data.

LI, Q; Su, L;

2017

Journal of the Royal Statistical Society. Series C, Applied statistics

Bayesian inference for joint modelling of longitudinal continuous, binary and ordinal events.

LI, Q; Pan, J; Belcher, J;

2014

Statistical methods in medical research

Illness Trajectories After Revascularization in Patients With Peripheral Artery Disease: A Unified Approach to Understanding the Risk of Major Amputation and Death.

LI, Q; Birmpili, P; Atkins, E; Johal, AS; Waton, S; Williams, R; Boyle, JR; Harkin, DW; Pherwani, AD; Cromwell, DA;

2024

Circulation

Understanding delays in chronic limb-threatening ischaemia care: Application of the theoretical domains framework to identify factors affecting primary care clinicians' referral behaviours.

Atkins, E; Birmpili, P; Kellar, I; Johal, AS; LI, Q; Waton, S; Boyle, JR; Pherwani, AD; Chetter, I; CROMWELL, DA;

2024

Journal of foot and ankle research

Illness trajectories after revascularisation in patients with peripheral arterial disease (PAD): A unified approach to understanding the risk of major amputation and death

LI, Q;

2024

Seminar talk at CEU monthly Department meeting

National Vascular Registry. Quarterly Report Q1 2024

Pherwani, A; Williams, R; Waton, S; Johal, A; LI, Q; CROMWELL, D; Birmpili, P;

2024

The symptom to assessment pathway for suspected chronic limb-threatening ischaemia (CLTI) affects quality of care: a process mapping exercise.

Atkins, E; Kellar, I; Birmpili, P; Waton, S; LI, Q; Johal, AS; Boyle, JR; Pherwani, AD; Chetter, I; CROMWELL, DA;

2024

BMJ open quality

National Vascular Registry: 2023 State of the Nation Report

Waton, S; Johal, A; LI, Q; Atkins, E; CROMWELL, D; Williams, R; Harkin, D; Pherwani, A;