팔로우
Pete Philipson
Pete Philipson
Senior Lecturer in Statistics, Newcastle University
newcastle.ac.uk의 이메일 확인됨
제목
인용
인용
연도
Evaluating the quality of research into a single prognostic biomarker: a systematic review and meta-analysis of 83 studies of C-reactive protein in stable coronary artery disease
H Hemingway, P Philipson, R Chen, N Fitzpatrick, J Damant, M Shipley, ...
PLoS Medicine 7 (6), 2010
1712010
Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues
GL Hickey, P Philipson, A Jorgensen, R Kolamunnage-Dona
BMC medical research methodology 16 (1), 1-15, 2016
1682016
Joint modelling of longitudinal and competing risks data
PR Williamson, R Kolamunnage‐Dona, P Philipson, AG Marson
Statistics in medicine 27 (30), 6426-6438, 2008
1132008
joineR: Joint modelling of repeated measurements and time-to-event data
P Philipson, P Diggle, I Sousa, R Kolamunnage-Dona, P Williamson, ...
Comprehensive R Archive Network, 2012
95*2012
South Asians and coronary disease: is there discordance between effects on incidence and prognosis?
MJS Zaman, P Philipson, R Chen, A Farag, M Shipley, MG Marmot, ...
Heart 99 (10), 729-736, 2013
932013
Measuring the impact of research: Lessons from the UK’s Research Excellence Framework 2014
G Chowdhury, K Koya, P Philipson
PloS one 11 (6), e0156978, 2016
632016
joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes
GL Hickey, P Philipson, A Jorgensen, R Kolamunnage-Dona
BMC medical research methodology 18 (1), 1-14, 2018
61*2018
Reducing inequalities in care for patients with non-malignant diseases: insights from a realist evaluation of an integrated palliative care pathway
SM Dalkin, M Lhussier, P Philipson, D Jones, W Cunningham
Palliative medicine 30 (7), 690-697, 2016
342016
Comparative review of methods for handling drop-out in longitudinal studies
P Philipson, WK Ho, R Henderson
Statistics in Medicine 27 (30), 6276–6298, 2008
332008
Joint models of longitudinal and time-to-event data with more than one event time outcome: a review
GL Hickey, P Philipson, A Jorgensen, R Kolamunnage-Dona
The international journal of biostatistics 14 (1), 2018
272018
A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial
GL Hickey, P Philipson, A Jorgensen, R Kolamunnage‐Dona
Journal of the Royal Statistical Society: Series A (Statistics in Society …, 2018
262018
Translational phases of evidence in a prognostic biomarker: a systematic review and meta-analysis of natriuretic peptides and the prognosis of stable coronary disease
S Sutaria, P Philipson, N Fitzpatrick, K Abrams, S Moreno, A Timmis, ...
Heart 98, 615-622, 2012
202012
Random-effects models for joint analysis of repeated-measurement and time-to-event outcomes
P Diggle, R Henderson, P Philipson
Longitudinal data analysis, 349-366, 2009
182009
Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data
P Philipson, GL Hickey, MJ Crowther, R Kolamunnage-Dona
Computational Statistics & Data Analysis 151, 107010, 2020
142020
On the ranking of test match batsmen
RJ Boys, PM Philipson
Journal of the Royal Statistical Society, Series C, 2018
132018
Higher education outreach: Examining key challenges for academics
M Johnson, E Danvers, T Hinton-Smith, K Atkinson, G Bowden, J Foster, ...
British Journal of Educational Studies 67 (4), 469-491, 2019
112019
Open communication strategies between a triad of ‘experts’ facilitates death in usual place of residence: A realist evaluation
S Dalkin, M Lhussier, D Jones, P Phillipson, W Cunningham
Palliative medicine, 0269216318757132, 2018
112018
Exposing the impact of intensive advice services on health: A realist evaluation
SM Dalkin, N Forster, P Hodgson, M Lhussier, P Philipson, SM Carr
Health & Social Care in the Community 27 (3), 767-776, 2019
92019
A condition-based maintenance policy for continuously monitored multi-component systems with economic and stochastic dependence
JL Oakley, KJ Wilson, P Philipson
Reliability Engineering & System Safety 222, 108321, 2022
82022
Mid-regional proadrenomedullin (MR-proADM), C-reactive protein (CRP) and other biomarkers in the early identification of disease progression in patients with COVID-19 in the …
N Moore, R Williams, M Mori, B Bertolusso, G Vernet, J Lynch, P Philipson, ...
Journal of clinical pathology, 2022
42022
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20