Professor Andrew Titman
Professor of StatisticsResearch Interests
- Multi-state modelling
- Survival analysis
- Medical Statistics
- Item response modelling
Web Links
http://www.maths.lancs.ac.uk/~titman
PhD Supervision Interests
I am happy to supervise students in topics related to medical statistics. I would particularly welcome applicants interested in developing methodology for the analysis of event history data using multi-state models.
Selected Publications
General tests of the Markov property in multi-state models
Titman, A., Putter, H. 30/04/2022 In: Biostatistics. 23, 2, p. 380-396. 17 p.
Journal article
Recurrent events modelling of haemophilia bleeding events
Titman, A., Wolfsegger, M.J., Jaki, T. 1/03/2021 In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 70, 2, p. 351-371. 21 p.
Journal article
Instrumental variable estimation in semi-parametric additive hazards models
Brueckner, M., Titman, A.C., Jaki, T.F. 1/03/2019 In: Biometrics. 75, 1, p. 110-120. 11 p.
Journal article
Quantifying the association between progression-free survival and overall survival in oncology trials using Kendall's tau.
Weber, E., Titman, A.C. 28/02/2019 In: Statistics in Medicine. 38, 5, p. 703-719. 17 p.
Journal article
Transition probability estimates for non-Markov multi-state models
Titman, A. 12/2015 In: Biometrics. 71, 4, p. 1034-1041. 8 p.
Journal article
All Publications
2024
Journal article
A Seamless Phase I/II Platform Design with a Time-To-Event Efficacy Endpoint for Potential COVID-19 Therapies
Jaki, T., Barnett, H., Titman, A., Mozgunov, P. 30/11/2024 In: Statistical Methods in Medical Research. 33, 11-12, p. 2115-2130. 16 p.Bayesian state-space models for the modelling and prediction of the results of English Premier League football
Ridall, G., Titman, A., Pettitt, A. 23/11/2024 In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 34 p.A Spline Function Method for Modelling and Generating a Nonhomogeneous Poisson Process
Morgan, L., Nelson, B., Titman, A., Worthington, D. 3/07/2024 In: Journal of Simulation. 18, 4, p. 557-568. 12 p.
Review article
A Systematic Review of Methodologies Used in Models of the Treatment of Diabetes Mellitus
Antoniou, M., Mateus, C., Hollingsworth, B., Titman, A. 31/01/2024
PDF: Statistical Methods for Cost-Effectiveness Analyses (Eloise Cook)
01/10/2024 → 30/09/2026
Research
PDF: Statistical modelling of post-stroke disability and survival (Ana Nicolae)
01/10/2024 → 30/09/2026
Research
Statistical Methods for Cost-Effectiveness Analyses (Oliver Chi)
01/10/2023 → 30/09/2025
Research
Statistical modelling of post-stroke disability and survival (Elijah Dawson)
01/10/2023 → 30/09/2025
Research
Horizon Europe : PREVENTABLE: Cancer prevention vs cancer treatment: The rare tumour risk syndromes battle
01/01/2023 → 31/12/2025
Research
Design and Analysis of Clinical Trials for Complex Interventions (Rachel Appleton)
01/10/2022 → 30/09/2024
Research
Statistical Methods for Health Technology Assessment (Joseph Price)
01/10/2022 → 30/09/2024
Research
Statistical Methods for Evaluating Quality and Length of Life in Post-stroke Patients and Other Applications (Alice Fletcher)
01/10/2021 → 30/09/2023
Research
Input Uncertainty Quantification for Large-Scale Simulation Models
01/10/2019 → 31/03/2023
Research
Illness-Death Modelling on Oncology Clinical Trials: Leveraging the Semi-Markov Assumption
01/07/2019 → 23/08/2019
Research
Secondary School Choice and Academic Attainment
01/01/2017 → 30/09/2019
Research
Statistical Methods in Medical Research (Journal)
Editorial activity
Multistate Models: Bridging Biostatistics, Demography and Econometrics
Participation in workshop, seminar, course
Analyse de Données Longitudinales de Cancer Modèles de Markov Cachés
Participation in workshop, seminar, course
- Biostatistics
- DSI - Foundations
- Social and Economic Statistics
- STOR-i Centre for Doctoral Training