Our latest Publications
Take a look at our recent published research
Survival analysis | Multi-state models | Joint models | Other
Survival Analysis
Smith H, Sweeting M, Morris T, Crowther MJ. A scoping methodological review of simulation studies comparing statistical and machine learning approaches to risk prediction for time-to-event data. Diagnostic and Prognostic Research 2022;6(10).
Bower H, Andersson TML, Crowther MJ, Lambert PC. Flexible parametric survival analysis with multiple timescales: Estimation and implementation using stmt. The Stata Journal 2022; (Accepted).
Skourlis N, Crowther MJ, Andersson TML, Lambert PC. On the choice of timescale for other cause mortality in a competing risk setting using flexible parametric survival models. Biometrical Journal 2022; (Online First).
Clements M, Christoffersen B, Royston P, Crowther M. Re: Spline-based accelerated failure time model. Statistics in Medicine. 2022; 41(7): 1314– 1315.
Crowther MJ, Royston P, Clements M. A flexible parametric accelerated failure time model and the extension to time-dependent acceleration factors. Biostatistics 2022; (Online First).
Crowther MJ. Simulating time-to-event data from parametric distributions, custom distributions, competing risk models and general multi-state models. The Stata Journal 2022; 22(1):3-24.
Freeman SC, Cooper NJ, Sutton AJ, Crowther MJ, Carpenter JR, Hawkins N. Challenges of modelling approaches for network meta-analysis of time-to-event outcomes in the presence of non-proportional hazards to aid decision making: application to a melanoma network. Statistical Methods in Medical Research 2022; (In Press).
Tamási B, Crowther MJ, Puhan MO, Steyerberg E, Hothorn T. Individual participant data meta-analysis with mixed effects transformation models. Biostatistics 2022; (In Press).
Broomfield J, Hill M, Guglieri M, Crowther M, Abrams K. Life Expectancy in Duchenne Muscular Dystrophy. Neurology 2021;97:e2304-e2314.
Multi-state models
Ekberg S, Crowther M, Harrysson S, Jerkeman M, Ekström-Smedby K, Eloranta S. Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission. British Journal of Cancer 2022; (Online first).
Skourlis N, Crowther MJ, Andersson TML, Lambert PC. Development of a dynamic interactive web tool to enhance understanding of multi-state model analyses: MSMplus. BMC Medical Research Methodology 2021;21:262.
Weibull CE, Lambert PC, Eloranta S, Andersson TML, Dickman PW, Crowther MJ. A multistate model incorporating estimation of excess hazards and multiple time scales. Statistics in Medicine 2021;40(9):2139-2154.
Crowther MJ, Lambert PC. Parametric multi-state survival models: flexible modelling allowing transition-specific distributions with application to estimating clinically useful measures of effect differences. Statistics in Medicine 2017;36(29):4719-4742.
Joint models
Crowther MJ. merlin – a unified framework for data analysis and methods development in Stata. The Stata Journal 2020;20(4):763-784.
Gasparini A, Abrams KR, Barrett JK, Major JK, Sweeting MJ, Brunskill NJ, Crowther MJ. Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study. Statistica Neerlandica 2020;74(1):5-23.
Brilleman SL, Crowther MJ, Moreno-Betancur M, Novik J, Dunyak J, Al-Huniti N, Fox R, Hammerbacher J, Wolfe R. Joint longitudinal and time-to-event models for multilevel hierarchical data. Statistical Methods in Medical Research 2019;28(12):3502-3515.
Crowther MJ, Andersson TM-L, Lambert PC, Abrams KR and Humphreys K. Joint modelling of longitudinal and survival data: Incorporating delayed entry and an assessment of model misspecification. Statistics in Medicine 2016;35(7)1193-1209.
Gould AL, Boye ME, Crowther MJ, Ibrahim JG, Quartey G, Micallef S, Bois FY. Joint modelling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modelling working group. Statistics in Medicine 2015;34(14):2181-2195.
Other
Gasparini A, Morris TP, Crowther MJ. INTEREST: INteractive Tool for Exploring REsults from Simulation sTudies. Journal of Data Science, Statistics, and Visualisation 2021;1(4).
Morris TP, White I, Crowther MJ. Using simulation studies to evaluate statistical methods. Statistics in Medicine 2019;38(11):2074-2102.