Statistical Sciences Research Institute (S3RI)
Statistical Sciences Research Institute (S3RI)

Publications

Read about our latest work.
Modelling macronutrient dynamics in the Hampshire Avon river: a Bayesian approach to estimate seasonal variability and total flux
Monica Pirani, Anouska Panton, Duncan Purdie & Sujit Sahu, 2016, Science of the Total Environment, 572, 1449-1460
DOI: 10.1016/j.scitotenv.2016.04.129
Type: article
An internet-based intervention with brief nurse support to manage obesity in primary care (POWeR+): a pragmatic, parallel-group, randomised controlled trial
Paul Little, Beth Stuart, F.D. Richard Hobbs, Joanne Kelly, Emily R. Smith, Katherine J. Bradbury, Stephanie Hughes, Peter W.F. Smith, Michael V. Moore, Mike E.J. Lean, Barrie M. Margetts, Christopher D. Byrne, Simon Griffin, Mina Davoudianfar, Julie Hooper, Guiqing Yao, Shihua Zhu, James Raftery & Lucy Yardley, 2016, The Lancet Diabetes & Endocrinology, 4(10), 821-828
DOI: 10.1016/S2213-8587(16)30099-7
Type: article
Looking back at the Gifi system of nonlinear multivariate analysis
Peter G.M. Van Der Heijden & Stef van Buuren, 2016, Journal of Statistical Software, 73(4), 1-8
DOI: 10.18637/jss.v073.i04
Type: article
A flexible ratio regression approach for zero-truncated capture–recapture counts
Dankmar Böhning, Irene Rocchetti, Marco Alfo & Heinz Holling, 2016, Biometrics, 72(3), 697-706
DOI: 10.1111/biom.12485
Type: article
A public-private integrated framework for in-silico virtual testing: the open-source PIPER project to personalize and position HBMs
2016
Type: conference