Number of items: **24**.

## 2024

Muegge, R. , Jack, E. , Dean, N. and Lee, D.
(2024)
COVID-19 vaccine fatigue in Scotland: how do the trends in attrition rates for the second and third doses differ by age, sex, and council area?
*Journal of the Royal Statistical Society: Series A (Statistics in Society)*,
(doi: 10.1093/jrsssa/qnae036)
(Early Online Publication)

McNealis, V., Moodie, E. E.M. and Dean, N.
(2024)
Revisiting the effects of maternal education on adolescents' academic performance: Doubly robust estimation in a network-based observational study.
*Journal of the Royal Statistical Society: Series C (Applied Statistics)*,
(doi: 10.1093/jrsssc/qlae008)
(Early Online Publication)

## 2023

Van Mechelen, I., Boulesteix, A.‐L., Dangl, R., Dean, N. , Hennig, C., Leisch, F., Steinley, D. and Warrens, M. J.
(2023)
A white paper on good research practices in benchmarking: the case of cluster analysis.
*WIREs Data Mining and Knowledge Discovery*, 13(6),
e1511.
(doi: 10.1002/widm.1511)

Muegge, R. , Dean, N. , Jack, E. and Lee, D.
(2023)
National lockdowns in England: the same restrictions for all, but do the impacts on COVID-19 mortality risks vary geographically?
*Spatial and Spatio-Temporal Epidemiology*, 44,
100559.
(doi: 10.1016/j.sste.2022.100559)
(PMCID:PMC9719849)

## 2019

Dean, N. , Dong, G., Piekut, A. and Pryce, G.
(2019)
Frontiers in residential segregation: understanding neighbourhood boundaries and their impacts.
*Tijdschrift voor Economische en Sociale Geografie*, 110(3),
pp. 271-288.
(doi: 10.1111/tesg.12316)

Jack, E. , Lee, D. and Dean, N.
(2019)
Estimating the changing nature of Scotland's health inequalities using a multivariate spatiotemporal model.
*Journal of the Royal Statistical Society: Series A (Statistics in Society)*, 182(3),
pp. 1061-1080.
(doi: 10.1111/rssa.12447)
(PMID:31217673)
(PMCID:PMC6563432)

Flynt, A. and Dean, N.
(2019)
Growth mixture modeling with measurement selection.
*Journal of Classification*, 36(1),
pp. 3-25.
(doi: 10.1007/s00357-018-9275-9)

Flynt, A., Dean, N. and Nugent, R.
(2019)
sARI: a soft agreement measure for class partitions incorporating assignment probabilities.
*Advances in Data Analysis and Classification*, 13(1),
pp. 303-323.
(doi: 10.1007/s11634-018-0346-x)

## 2017

Dean, N. and Pryce, G.
(2017)
Is the housing market blind to religion? A perceived substitutability approach to homophily and social integration.
*Urban Studies*, 54(13),
pp. 3058-3070.
(doi: 10.1177/0042098016668779)

Anderson, C. , Lee, D. and Dean, N.
(2017)
Spatial clustering of average risks and risk trends in Bayesian disease mapping.
*Biometrical Journal*, 59(1),
pp. 41-56.
(doi: 10.1002/bimj.201600018)
(PMID:27492753)

## 2016

Martyna, A., Zadora, G., Neocleous, T. , Michalska, A. and Dean, N.
(2016)
Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra.
*Analytica Chimica Acta*, 931,
pp. 34-46.
(doi: 10.1016/j.aca.2016.05.016)
(PMID:27282749)

Flynt, A. and Dean, N.
(2016)
A survey of popular R packages for cluster analysis.
*Journal of Educational and Behavioral Statistics*, 41(2),
pp. 205-225.
(doi: 10.3102/1076998616631743)

Anderson, C., Lee, D. and Dean, N.
(2016)
Bayesian cluster detection via adjacency modelling.
*Spatial and Spatio-Temporal Epidemiology*, 16,
pp. 11-20.
(doi: 10.1016/j.sste.2015.11.005)
(PMID:26919751)

## 2014

Moodie, E. E.M., Dean, N. and Sun, Y. R.
(2014)
Q-learning: flexible learning about useful utilities.
*Statistics in Biosciences*, 6(2),
pp. 223-243.
(doi: 10.1007/s12561-013-9103-z)

Anderson, C., Lee, D. and Dean, N.
(2014)
Identifying clusters in Bayesian disease mapping.
*Biostatistics*, 15(3),
pp. 457-469.
(doi: 10.1093/biostatistics/kxu005)
(PMID:24622038)

## 2013

Dean, N. and Nugent, R.
(2013)
Clustering student skill set profiles in a unit hypercube using mixtures of multivariate betas.
*Advances in Data Analysis and Classification*, 7(3),
pp. 339-357.
(doi: 10.1007/s11634-013-0149-z)

Chanialidis, C. , Craigmile, P., Davies, V. , Dean, N. , Evers, L. , Filiippone, M., Gupta, M. , Ray, S. and Rogers, S.
(2013)
Discussion of Henning and Liao: How to find an appropriate clustering for mixed type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C. 62, 309-369.
Discussion Paper.
Springer.
(doi: 10.1111/j.1467-9876.2012.01066.x).

## 2011

Dean, N. and Nugent, R.
(2011)
Comparing different clustering models on the unit hypercube.
In: 58th World Statistics Congress of the International Statistical Institute, Dublin, Ireland, 21-26 Aug 2011,

## 2010

Dean, N. and Raftery, A. E.
(2010)
Latent class analysis variable selection.
*Annals of the Institute of Statistical Mathematics*, 62(1),
pp. 11-35.
(doi: 10.1007/s10463-009-0258-9)

Murphy, T.B., Dean, N. and Raftery, A.E.
(2010)
Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications.
*Annals of Applied Statistics*, 4(1),
pp. 396-421.
(doi: 10.1214/09-AOAS279)

Nugent, R., Dean, N. and Ayers, E.
(2010)
Skill set profile clustering: the empty K-means algorithm with automatic specification of starting cluster centers.
In: EDM2010: 3rd International Conference on Educational Data Mining, Pittsburgh, USA, 11-13 June 2010,

## 2009

Ayers, E., Nugent, R. and Dean, N.
(2009)
A comparison of student skill knowledge estimates.
In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

Nugent, R., Elizabeth, A. and Nema, D.
(2009)
Conditional subspace clustering of skill mastery: identifying skills that separate students.
In: EDM2009: 2nd International Conference on Educational Data Mining, Cordoba, Spain, 1-3 July 2009,

## 2008

Ayers, E., Nugent, R. and Dean, N.
(2008)
Skill set profile clustering based on student capability vectors computed from online tutoring data.
In: EDM2008: 1st International Conference on Educational Data Mining, Montreal, Canada, 20-21 June 2008,

This list was generated on **Wed Sep 18 09:52:19 2024 BST**.