Publications

Publications*

1. J.H. McVittie. Comment on "Generating survival times with time-varying covariates using the Lambert W Function". accepted in Communications in Statistics - Simulation and Computation

2. J.H. McVittie, D.B. Wolfson, D.A Stephens. The survival function NPMLE for combined right-censored and length-biased right-censored failure time data: Properties and applications. accepted in International Journal of Biostatistics

3. J.H. McVittie. Determining sample sizes for combined incident and prevalent cohort studies with and without follow-up. accepted in Statistical Methods & Applications

4. J.H. McVittie, V. Addona, D.B. Wolfson, D.A. Stephens. Testing for a change in the failure time distribution using combined data from an incident and a prevalent cohort. accepted in Statistics and Its Interface

5. 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.

6. 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.
   
   

7. 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.

8. 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). 

9. 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.

10. 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.

11. 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).

12. 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.

13. 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.

14. 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

1. J.H. McVittie (2017) doubcens - CRAN R Package: Survivor function estimation for doubly interval-censored failure time data

Reports

1. 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. preprint for Centre de Recherches Mathematiques.

2. 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. 

*Last Updated (2024/01/29)