Richard Nixon
Richard Nixon
Modeler, Novartis
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Cited by
Using mixed treatment comparisons and meta‐regression to perform indirect comparisons to estimate the efficacy of biologic treatments in rheumatoid arthritis
RM Nixon, N Bansback, A Brennan
Statistics in medicine 26 (6), 1237-1254, 2007
Non‐parametric methods for cost‐effectiveness analysis: the central limit theorem and the bootstrap compared
RM Nixon, D Wonderling, RD Grieve
Health economics 19 (3), 316-333, 2010
Relative benefit-risk comparing diclofenac to other traditional non-steroidal anti-inflammatory drugs and cyclooxygenase-2 inhibitors in patients with osteoarthritis or …
A van Walsem, S Pandhi, RM Nixon, P Guyot, A Karabis, RA Moore
Arthritis research & therapy 17 (1), 1-18, 2015
The effect of disease, functional status, and relapses on the utility of people with multiple sclerosis in the UK
M Orme, J Kerrigan, D Tyas, N Russell, R Nixon
Value in health 10 (1), 54-60, 2007
Methods for incorporating covariate adjustment, subgroup analysis and between‐centre differences into cost‐effectiveness evaluations
RM Nixon, SG Thompson
Health economics 14 (12), 1217-1229, 2005
Modelling the cost effectiveness of TNF-α antagonists in the management of rheumatoid arthritis: results from the British Society for Rheumatology Biologics Registry
A Brennan, N Bansback, R Nixon, J Madan, M Harrison, K Watson, ...
Rheumatology 46 (8), 1345-1354, 2007
Developing appropriate methods for cost-effectiveness analysis of cluster randomized trials
M Gomes, ESW Ng, R Grieve, R Nixon, J Carpenter, SG Thompson
Medical Decision Making 32 (2), 350-361, 2012
The efficacy of inhibiting tumour necrosis factor α and interleukin 1 in patients with rheumatoid arthritis: a meta-analysis and adjusted indirect comparisons
R Nixon, N Bansback, A Brennan
Oxford University Press 46 (7), 1140-1147, 2007
Biologic drugs for rheumatoid arthritis in the Medicare program: a cost‐effectiveness analysis
AJ Wailoo, N Bansback, A Brennan, K Michaud, RM Nixon, F Wolfe
Arthritis & Rheumatism 58 (4), 939-946, 2008
Parametric modelling of cost data: some simulation evidence
A Briggs, R Nixon, S Dixon, S Thompson
Health economics 14 (4), 421-428, 2005
Valsartan vs. other angiotensin II receptor blockers in the treatment of hypertension: a meta‐analytical approach
RM Nixon, E Müller, A Lowy, H Falvey
International journal of clinical practice 63 (5), 766-775, 2009
Parametric modelling of cost data in medical studies
RM Nixon, SG Thompson
Statistics in medicine 23 (8), 1311-1331, 2004
Indicators of undernutrition in cattle
S Agenäs, MF Heath, RM Nixon, JM Wilkinson, CJC Phillips
Animal Welfare 15 (2), 149-160, 2006
Longer polyglutamine tracts in the androgen receptor are associated with moderate to severe undermasculinized genitalia in XY males
HN Lim, H Chen, S McBride, AM Dunning, RM Nixon, IA Hughes, ...
Human Molecular Genetics 9 (5), 829-834, 2000
Costs and quality of life of multiple sclerosis in the United Kingdom
G Kobelt, J Berg, P Lindgren, J Kerrigan, N Russell, R Nixon
The European Journal of Health Economics 7 (2), 96-104, 2006
No evidence of disease activity: indirect comparisons of oral therapies for the treatment of relapsing–remitting multiple sclerosis
R Nixon, N Bergvall, D Tomic, N Sfikas, G Cutter, G Giovannoni
Advances in therapy 31 (11), 1134-1154, 2014
How sensitive are cost-effectiveness analyses to choice of parametric distributions?
SG Thompson, RM Nixon
Medical Decision Making 25 (4), 416-423, 2005
Using multilevel models for assessing the variability of multinational resource use and cost data
R Grieve, R Nixon, SG Thompson, C Normand
Health economics 14 (2), 185-196, 2005
Randomised controlled trial of educational package on management of menorrhagia in primary care: the Anglia menorrhagia education study
GRK Fender, A Prentice, T Gorst, RM Nixon, SW Duffy, NE Day, SK Smith
BMJ 318 (7193), 1246-1250, 1999
Statistical methods for cost-effectiveness analyses that use data from cluster randomized trials: a systematic review and checklist for critical appraisal
M Gomes, R Grieve, R Nixon, WJ Edmunds
Medical Decision Making 32 (1), 209-220, 2012
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