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Dr Pete Philipson

Senior Lecturer

Department: Mathematics, Physics and Electrical Engineering

Dr Pete Philipson is a Senior Lecturer and Researcher in Statistics. He studied for his undergraduate degree in Mathematics and Statistics at Newcastle University and continued on to complete his PhD in Bayesian Experimental Design. Following this he undertook a research post to develop software and methodology for the joint modeling of longitudinal and survival data. Seeking pastures new he ventured to London to work in industry for a year before taking on the role of Medical Statistician at University College London where he worked on biomarkers for cardiovascular disease based on large electronic record databases. He joined the Mathematics and Statistics team at Northumbria University in February 2011.

Google Scholar

joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

joineR: Joint Modelling of Repeated Measurements and Time-to-Event Data

Campus Address

Ellison Building, Ellison Place



Qualifications

  • Statistics PhD Exact Bayesian Design for Limiting Dilution Assays July 31 2005
  • Information not provided Royal Statistical Society (RSS) 2005

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • Exposing the impact of intensive advice services on health, Dalkin, S., Forster, N., Hodgson, P., Lhussier, M., Philipson, P., Carr, S. 1 May 2019, In: Health & Social Care in the Community
  • Higher Education Outreach, Johnson, M., Danvers, E., Hinton-Smith, T., Atkinson, K., Bowden, G., Foster, J., Garner, K., Garrud, P., Greaves, S., Harris, P., Hejmadi, M., Hill, D., Hughes, G., Jackson, L., O’Sullivan, A., ÓTuama, S., Perez Brown, P., Philipson, P., Ravenscroft, S., Rhys, M., Ritchie, T., Talbot, J., Walker, D., Watson, J., Williams, M., Williams, S. 4 Feb 2019, In: British Journal of Educational Studies
  • On the ranking of Test match batsmen, Boys, R., Philipson, P. 1 Jan 2019, In: Journal of the Royal Statistical Society. Series C: Applied Statistics
  • A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial, Hickey, G., Philipson, P., Jorgensen, A., Kolamunnage-Dona, R. 1 Oct 2018, In: Journal of the Royal Statistical Society. Series A: Statistics in Society
  • Impact arising from sustained public engagement: A measured increase in learning outcomes, McLaughlin, J., Boothroyd, L., Philipson, P. 2 Jul 2018, In: Research for All
  • joineRML: A joint model and software package for time-to-event and multivariate longitudinal outcomes, Hickey, G., Philipson, P., Jorgensen, A., Kolamunnage-Dona, R. 7 Jun 2018, In: BMC Medical Research Methodology
  • Open communication strategies between a triad of ‘experts’ facilitates Death in Usual Place of Residence: A realist evaluation, Dalkin, S., Lhussier, M., Jones, A., Philipson, P., Cunningham, W. 1 May 2018, In: Palliative Medicine
  • Joint Models of Longitudinal and Time-to-Event Data with More Than One Event Time Outcome: A Review, Hickey, G., Philipson, P., Jorgensen, A., Kolamunnage-dona, R. 31 Jan 2018, In: International Journal of Biostatistics
  • Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes, Hickey, G., Philipson, P., Jorgensen, A., Kolamunnage-Dona, R. 27 Dec 2016
  • Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues, Hickey, G., Philipson, P., Jorgensen, A., Kolamunnage-Dona, R. 7 Sep 2016, In: BMC Medical Research Methodology

PGR Supervision

Gonca Buyrukoglu Methodological Development and Advances for Joint Modelling of Longitudinal and Time-to-event Data Start: 28/04/2015


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