Publications
Q. Zhao*, J.H. McVittie. Joint survival and longitudinal modelling for combined cohort data. accepted in Journal of Applied Statistics.
J.H. McVittie, O.A. Murphy. Weighted parameter estimators of the generalized extreme value distribution in the presence of missing observations. Arxiv
J.H. McVittie. (2025) Comment on "Generating survival times with time-varying covariates using the Lambert W Function". Communications in Statistics - Simulation and Computation, 54(8), 2829-2830.
J.H. McVittie, O.A. Murphy. (2025) Estimating extreme wave surges in the presence of missing data. Environmetrics, 36(6), e70036.
E. Erick*, J.H. McVittie. (2025) A note on bayesian nonparametric survival function estimators for combined cohort data. Statistica Neerlandica, 79(1), e70004.
J.H. McVittie. (2025) Accelerated failure time and additivie hazard models for combined right-censored and left-truncated right-censored failure time data. Statistical Methods & Applications, 34, 237-260.
J.H. McVittie, V. Addona, D.B. Wolfson, D.A. Stephens. (2025) Testing for a change in the failure time distribution using combined data from an incident and a prevalent cohort. Statistics and Its Interface, 18, 131-137.
J.H. McVittie, D.B. Wolfson, D.A Stephens. (2024) The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: Properties and applications. International Journal of Biostatistics, 20(2): 531-551.
J.H. McVittie. (2024) Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up. Statistical Methods & Applications, 33, 303-323.
J.H. McVittie, D.B. Wolfson, D.A. Stephens. (2023) A note on the partial likelihood estimator of the proportional hazards model for combined incident and prevalent cohort data. Metrika, 86, 487-497.
J.H. McVittie, A.F. Best, D.B. Wolfson, D.A. Stephens, J. Wolfson, D.L. Buckeridge, S.M. Gadalla. (2023) Survival modelling for data from combined cohorts: Opening the door to meta survival analyses and survival analysis using electronic health records. International Statistical Review, 91(1): 72-87.
J.H. McVittie, M. Asgharian. (2022) A nonparametric test for equality of survival medians using right-censored prevalent cohort survival data. Statistical Methods in Medical Research, 31(12): 2431-2441.
J.H. McVittie, D.B. Wolfson, V. Addona, Z. Li. (2022) Stacked survival models for residual lifetime data: An unexpected finding. BMC Medical Research Methodology, 22(10).
J.H. McVittie, V. Addona. (2022) A risk set adjustment for proportional hazards modelling of combined cohort data. Journal of Applied Statistics, 49(11): 2913-2927.
J.H. McVittie, D.B. Wolfson, D.A. Stephens, V. Addona, D.L. Buckeridge. (2020) Parametric models for combined failure time data from an incident cohort study and a prevalent cohort study with follow-up. International Journal of Biostatistics, 17(2): 283-293.
J.H. McVittie, D.B. Wolfson, D.A. Stephens. (2020) A note on the applicability of the standard non-parametric maximum likelihood estimator for combined incident and prevalent cohort data. Stat, 9 (1).
J.H. McVittie, D.B. Wolfson, D.A. Stephens. (2020) Parametric modelling of prevalent cohort data with uncertainty in the measurement of the initial onset date. Lifetime Data Analysis, 26 (2): 389-401.
J.H. McVittie. (2017) Absence of non-commutative matrix observables for q-state Potts models. Mathematical Reports of the Academy of Science, 39 (1): 36-44.
M. Freeman, J.H. McVittie, I. Sivak, J. Wu. (2014) Viral information propagation in the Digg online social network. Physica A, 415: 87-94.
Software
J.H. McVittie (2017) doubcens - CRAN R Package: Survivor function estimation for doubly interval-censored failure time data
Reports
G. Aflaki, E. Bizimana, A. Cwiling, F. Farhangian, J.H. McVittie, B. Monsia, J.-F. Plante, J. Schulz, M.-H. Simard, E. Tafolong. (2022) Beneva: Survival Models and Incomplete Data. 63. Centre de Recherches Mathematiques.
A. Alinas, T. Duchesne, E. Lavoie-Charland, M. Malekiha, J.H. McVittie, I. Saidani, A. Sen, J. Wang, M. Zhao. (2016) Event Variables in Client Analytics: Project Submitted by The Co-Operators. 17. Centre de Recherches Mathematiques.
Unpublished papers
J. McVittie, D. Wolfson, R. Postuma, C. Wolfson. (2025) Estimation of survival with Parkinson's disease in the Canadian Longitudinal Study on Aging: An analysis using only current disease durations observed at baseline. medRxiv. https://doi.org/10.1101/2025.06.30.25329557
*Highly Qualified Personnel
Last Updated (23/09/2025)