Farrell, T.L., Poquet, L., Dew, T.P., Barber, S., & Williamson, G. (2012). Predicting phenolic acid absorption in Caco-2 cells: a theoretical permeability model & mechanistic study. Drug Metabolism and Disposition 40, 397-406. doi:10.1124/dmd.111.041665.
Mardia, K.V., Nyirongo, V., Fallaize, C.J., Barber, S., & Jackson,
R.M. (2011). Hierarchical Bayesian modelling of
pharmacophores in bioinformatics. Biometrics 67, 611-619.
[Abstract][pdf] [supplementary information]
Barber,S.C., Higginbottom, A., Mead, R.J., Barber, S., & Shaw, P.J. (2009). An in vitro screening cascade to identify neuroprotective antioxidants in ALS. Free Radical Biology & Medicine 46 1127-1138.
Walls, R.E., Barber, S., Kent, J.T. & Gilthorpe, M.S. (2007).
An adaptive empirical Bayesian thresholding procedure
for analysing microarray experiments with replication.
Journal of the Royal Statistical Society, Series
C. 56, 271-291.
[Abstract]
[pdf]
Barber, S. & Nason, G.P. (2004). Real
nonparametric regression with complex wavelets.
Journal of the Royal Statistical Society, Series B.
66, 927-939.
[Abstract] [pdf] [ps]
[Download software]
Barber, S., Nason, G.P., & Silverman, B.W. (2002). Posterior
probability intervals for wavelet thresholding. Journal
of the Royal Statistical Society, Series B.
64, 189-205.
[Abstract]
[pdf]
[ps]
[Download software].
Barber, S., & Jennison, C. (2002). Optimal asymmetric one-sided
group sequential tests. Biometrika
89, 49-60.
[Abstract]
[pdf]
[ps]
[Download software].
Barber, S., & Jennison, C. (1999). Symmetric tests and confidence
intervals for survival probabilities and quantiles of censored
survival data. Biometrics 55, 430-436.
[Abstract]
[pdf]
[ps]
Klapper, J.H. & Barber, S. (2011).
Multi-scale analysis of high performance liquid chromatography data
In Mardia, K.V., Gusnanto, A., Riley, A.D., & Voss, J. (eds),
Next Generation Statistics in Biosciences,
p. 164, Leeds, Leeds University Press.
[pdf]
Klapper, J.H. & Barber, S. (2010).
A multi-scale approach to analysing High Performance Liquid Chromatography data
In Gusnanto, A., Mardia, K.V., Fallaize, C.J., & Voss, J. (eds),
High-throughput Sequencing, Proteins and Statistics,
pp. 114-116, Leeds, Leeds University Press.
[pdf]
Mardia, K.V., Fallaize, C.J., Barber, S., Jackson, R.M., & Theobald, D.L. (2010).
Bayesian alignment of unlabelled similarity shapes
In Gusnanto, A., Mardia, K.V., Fallaize, C.J., & Voss, J. (eds),
High-throughput Sequencing, Proteins and Statistics,
pp. 121, Leeds, Leeds University Press.
[pdf]
Aykroyd, R.G., Barber, S., Northing,P., Murray, A., & Peck, S.J. (2009).
A multiscale method for spatial imputation applied to
environmental data.
In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds),
Statistical Tools for Challenges in Bioinformatics,
pp.98-100. Leeds, Leeds University Press.
[pdf]
Mardia, K.V., Nyirongo, V.B., Fallaize, C.J., Barber, S., and
Jackson, R.M. (2009). Hierarchical Bayesian modelling of pharmacophores.
In A. Gusnanto, K.V. Mardia, & C.J. Fallaize (eds),
Statistical Tools for Challenges in Bioinformatics,
pp.111-112. Leeds, Leeds University Press.
[pdf]
Aykroyd, R.G., Barber, S., & Peck, S.J. (2008).
Imputation on 2-dimensional data via lifting.
In S. Barber, P.D. Baxter, A. Gusnanto & K.V. Mardia (eds),
The Art and Science of Statistical Bioinformatics,
pp.77-80. Leeds, Leeds University Press.
[pdf]
Peck, S.J., Barber, S., & Aykroyd, R.G. (2007).
Lifting based imputation for peak inference on HPLC
data In S. Barber, P.D. Baxter, & K.V.Mardia (eds), Systems
Biology & Statistical Bioinformatics, pp. 134. Leeds, Leeds
University Press.
Walls, R.E., Barber, S., Gilthorpe, M.S., & Kent,J.T. (2007).
Statistical analysis of high
performance liquid chromatography data In S. Barber, P.D. Baxter,
& K.V.Mardia (eds), Systems Biology & Statistical
Bioinformatics, pp. 144. Leeds, Leeds University Press.
Goodwin, A., Aykroyd, R.G. & Barber, S. (2006).
Prediction from local frequency characteristics of multiple time
series
In Barber, S., Baxter, P.D., Mardia, K.V., & Walls, R.E. (Eds.),
Interdisciplinary Statistics and Bioinformatics,
pp. 116-119. Leeds, Leeds University Press.
Walls, R.E., Barber, S., Gilthorpe, M.S. &
Kent, J.T. (2006).
Analysis of microarray data by an adaptive empirical Bayesian
thresholding procedure In Barber, S, Baxter, P.D., Mardia, K.V., &
R.E. Walls (Eds.), Interdisciplinary Statistics and
Bioinformatics, pp. 175-177. Leeds, Leeds University Press.
Goodwin, D.A., Aykroyd,
R.G. & Barber, S. (2005). Modelling and predicting flow regimes
using wavelet representations of ERT data In de Jong, A.,
Williams, R.A., & Zeidan, M. (Eds)
Proceedings of the 4th World Congress on Industrial Process
Tomography, pp. 904-909
Walls, R.E., Barber, S., Gilthorpe, M.S. &
Kent, J.T. (2005). Analysis of microarray data In
S. Barber, P.D. Baxter, K.V. Mardia, & R.E. Walls (Eds.),
Quantitative Biology, Shape Analysis, and Wavelets,
pp. 168-171. Leeds, Leeds University Press.
Goodwin, A., Barber, S., & Aykroyd,
R.G. (2005). Modelling and predicting flow regimes
using wavelet representations of ERT data In
S. Barber, P.D. Baxter, K.V. Mardia, & R.E. Walls (Eds.),
Quantitative Biology, Shape Analysis, and Wavelets,
pp. 134-137. Leeds, Leeds University Press.
Goodwin, D.A., Barber, S., & Aykroyd,
R.G. (2004). Wavelet packet modelling of seismic data. In
R.G. Aykroyd, S. Barber, & K.V. Mardia (Eds.), Bioinformatics,
Images, and Wavelets, pp. 126-129. Department of Statistics,
University of Leeds.
Barber, S. & Nason, G.P. (2003a). Denoising Real Images Using
Complex-Valued Wavelets. In R.G. Aykroyd, K.V. Mardia and
M.J. Langdon (Eds.), Stochastic Geometry, Biological Structure and
Images, 91-95. Department of Statistics, University of Leeds.
Barber, S., & Jennison, C. (1998). Bootstrapping the
Kaplan-Meier estimator. In Payne, R. & Green, P.J. (eds)
Compstat 1998: Proceedings in Computational Statistics,
vol. 2 139-140.
Aykroyd, R.G., Barber, S., Cattle, B.A., Goodwin, D.A., & West,
R.M. (2006). Recent advances in statistical modelling and
analysis for electrical tomography without image
reconstruction Research report
STAT06-12 Department of Statistics, University of
Leeds, U.K.
Walls, R.E., Barber, S., Gilthorpe, M.S., & Kent, J.T. (2006). An adaptive empirical Bayesian thresholding procedure for analysing microarray experiments with replication Research report
STAT06-02 Department of Statistics, University of
Leeds, U.K.
Marchant, P, Baxter, P.D., & Barber, S. (2006). Some statistical issues in the assessment of crime reduction interventions Research report
STAT06-01 Department of Statistics, University of
Leeds, U.K.
Barber, S. & Nason, G.P. (2003b). Appendix to Real
nonparametric regression using complex wavelets Research
report 03:13, Statistics Group, University of
Bristol, U.K.
Barber, S. & Nason, G.P. (2003c). Simulations comparing thresholding methods using real and complex wavelets. Research
report 03:07, Statistics Group, University of
Bristol, U.K.
Barber, S. (2003). An analysis of group size models for optimal
group sequential clinical trials. Research
report 03:01, Statistics Group, University of
Bristol, U.K.
Barber, S. (2001). Simulating from the posterior density of
Bayesian wavelet regression estimates. Research
report 01:29, Statistics Group, University of
Bristol, U.K.
Barber, S. (2001). OGSeT: Software for optimal group sequential
clinical trials . Research report 01:18,
Statistics Group, University of Bristol, U.K.
Barber, S., & Jennison, C. (1998). A review of inferential
methods for the Kaplan-Meier estimator. Research report
98:02, Statistics group, University of Bath, U.K..
[pdf]
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[Abstract]
[pdf]
[ps]
[pdf]
[pdf]
[pdf]
[Abstract]
[pdf]
[Abstract]
[pdf]
[ps]
Research reports
Goodwin, D.A., Barber, S., & Aykroyd, R.G. (2006). Modelling and predicting flow regimes using wavelet
representations Research report
STAT06-17 Department of Statistics, University of
Leeds, U.K.
[Abstract]
[pdf]
[Abstract]
[pdf]
[Abstract]
[pdf][updated pdf]
[Abstract]
[pdf][ updated pdf]
[pdf]
[pdf]
[pdf]
[Abstract]
[pdf]
[ps]
Download software as a
[gzipped tar file]
[Abstract]
[pdf]
[ps]
Edited volumes
Barber, S., Baxter, P.D., Gusnanto, A., & Mardia, K.V. (eds) (2008). The Art and Science of Statistical Bioinformatics, Leeds, Leeds University Press.
Barber, S., Baxter, P.D., & Mardia, K.V. (eds) (2007). Systems Biology & Statistical Bioinformatics, Leeds, Leeds University Press.
Barber, S., Baxter, P.D., Mardia, K.V., & Walls, R.E. (eds) (2006). Interdisciplinary Statistics and Bioinformatics. Leeds, Leeds University Press.
Barber, S., Baxter, P.D., Mardia, K.V., & Walls, R.E. (eds) (2005). Quantitative Biology, Shape Analysis, and Wavelets. Leeds, Leeds University Press.
Aykroyd, R.G., Barber, S., & Mardia, K.V. (eds) (2004). Bioinformatics, Images, and Wavelets. Leeds, Leeds University Press.
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