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Outputs (2004)

The role of population size in folk tune complexity (2022)
Journal Article
Street, S., Eerola, T., & Kendal, J. (2022). The role of population size in folk tune complexity. Humanities and Social Sciences Communications, 9, Article 152. https://doi.org/10.1057/s41599-022-01139-y

Demography, particularly population size, plays a key role in cultural complexity. However, the relationship between population size and complexity appears to vary across domains: while studies of technology typically find a positive correlation, the... Read More about The role of population size in folk tune complexity.

A robust Bayesian analysis of variable selection under prior ignorance (2022)
Journal Article
Basu, T., Troffaes, M. C., & Einbeck, J. (2023). A robust Bayesian analysis of variable selection under prior ignorance. Sankhya A - Mathematical Statistics and Probability, 85(1), 1014-1057. https://doi.org/10.1007/s13171-022-00287-2

We propose a cautious Bayesian variable selection routine by investigating the sensitivity of a hierarchical model, where the regression coefficients are specified by spike and slab priors. We exploit the use of latent variables to understand the imp... Read More about A robust Bayesian analysis of variable selection under prior ignorance.

The Teaching and Learning Toolkit: Communicating research evidence to inform decision‐making for policy and practice in education (2022)
Journal Article
Higgins, S., Katsipataki, M., Villanueva Aguilera, A., Alaidde, B., Dobson, E., Gascoine, L., …Uwimpuhwe, G. (2022). The Teaching and Learning Toolkit: Communicating research evidence to inform decision‐making for policy and practice in education. Review of Education, 10(1), Article e3327. https://doi.org/10.1002/rev3.3327

This article compares and contrasts two versions of the Education Endowment Foundation's (EEF) Teaching and Learning Toolkit (‘Toolkit’), a web-based summary of international evidence on teaching 3–18 year-olds. The Toolkit has localised versions in... Read More about The Teaching and Learning Toolkit: Communicating research evidence to inform decision‐making for policy and practice in education.

Controversy Over Tongue-Tie: Divisions in the Community of Healthcare Professionals (2022)
Journal Article
Larrain, M., & Stevenson, E. G. (2022). Controversy Over Tongue-Tie: Divisions in the Community of Healthcare Professionals. Medical Anthropology, 41(4), 446-459. https://doi.org/10.1080/01459740.2022.2056843

While recent decades have seen a rapid rise in cases of infant tongue-tie and in surgery to correct it, a controversy is now raging over the condition. Opinion is especially divided over so-called posterior tongue-tie, a variant which is detected bas... Read More about Controversy Over Tongue-Tie: Divisions in the Community of Healthcare Professionals.

Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study (2022)
Journal Article
Holzhauer, B., Hampson, L. V., Gosling, J. P., Bornkamp, B., Kahn, J., Lange, M. R., …others. (2022). Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study. Pharmaceutical Statistics, 21(5), 1005-1021. https://doi.org/10.1002/pst.2212

Pharmaceutical companies regularly need to make decisions about drug development programs based on the limited knowledge from early stage clinical trials. In this situation, eliciting the judgements of experts is an attractive approach for synthesisi... Read More about Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study.

Rank pruning for dominance queries in CP-nets (2019)
Journal Article
Laing, K., Thwaites, P. A., & Gosling, J. P. (2019). Rank pruning for dominance queries in CP-nets. Journal of Artificial Intelligence Research, 64, 55-107

Managing Unusual Sensory Experiences in People with First-Episode Psychosis (MUSE FEP): a study protocol for a single-blind parallel-group randomised controlled feasibility trial (2022)
Journal Article
Dudley, R., Dodgson, G., Common, S., O'Grady, L., Watson, F., Gibbs, C., …Aynsworth, C. (2022). Managing Unusual Sensory Experiences in People with First-Episode Psychosis (MUSE FEP): a study protocol for a single-blind parallel-group randomised controlled feasibility trial. BMJ Open, 12(5), Article e061827. https://doi.org/10.1136/bmjopen-2022-061827

Introduction Hallucinations (hearing or seeing things that others do not) are a common feature of psychosis, causing significant distress and disability. Existing treatments such as cognitive–behavioural therapy for psychosis (CBTp) have modest benef... Read More about Managing Unusual Sensory Experiences in People with First-Episode Psychosis (MUSE FEP): a study protocol for a single-blind parallel-group randomised controlled feasibility trial.

Williams syndrome: reduced orienting to other’s eyes in a hypersocial phenotype (2022)
Journal Article
Kleberg, J. L., Riby, D., Fawcett, C., Bjorlin Avdic, H., Frick, M. A., Brocki, K. C., …Willfors, C. (2023). Williams syndrome: reduced orienting to other’s eyes in a hypersocial phenotype. Journal of Autism and Developmental Disorders, 53, 2786–2797. https://doi.org/10.1007/s10803-022-05563-6

Williams syndrome (WS) is a rare genetic condition associated with high sociability, intellectual disability, and social cognitive challenges. Attention to others’ eyes is crucial for social understanding. Orienting to, and from other’s eyes was stud... Read More about Williams syndrome: reduced orienting to other’s eyes in a hypersocial phenotype.

A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference (2022)
Journal Article
Moral-Garcia, S., Abellan, J., Coolen-Maturi, T., & Coolen, F. (2022). A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference. Applied Soft Computing, 123, Article 108916. https://doi.org/10.1016/j.asoc.2022.108916

Classifiers sometimes return a set of values of the class variable since there is not enough information to point to a single class value. These classifiers are known as imprecise classifiers. Decision Trees for Imprecise Classification were proposed... Read More about A Cost-Sensitive Imprecise Credal Decision Tree based on Nonparametric Predictive Inference.