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All Outputs (112)

A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions (2024)
Journal Article
Einbeck, J., Coolen-Maturi, T., Uwimpuhwe, G., & Singh, A. (online). A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions. The Journal of Experimental Education, https://doi.org/10.1080/00220973.2024.2405738

The effectiveness of educational interventions has traditionally been evaluated using effect size measures which focus on a single feature of the distribution of the outcomes under intervention and control conditions: a (standardized) mean difference... Read More about A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions.

Lack of effect of a parent‐delivered early language intervention: Evidence from a randomised controlled trial completed during COVID‐19 (2024)
Journal Article
Burgoyne, K., Hargreaves, S., Akhter, N., Cramman, H., Eerola, P., Einbeck, J., & Menzies, V. (online). Lack of effect of a parent‐delivered early language intervention: Evidence from a randomised controlled trial completed during COVID‐19. JCPP Advances, Article e12279. https://doi.org/10.1002/jcv2.12279

Background: Parents play a key role in their child's early development but evidence that parental engagement strategies are effective is unclear. The current study evaluated a parent‐delivered early language teaching programme that aimed to support c... Read More about Lack of effect of a parent‐delivered early language intervention: Evidence from a randomised controlled trial completed during COVID‐19.

Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models (2024)
Journal Article
Zhang, Y., & Einbeck, J. (2024). Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models. Algorithms, 17(8), Article 358. https://doi.org/10.3390/a17080358

We consider situations in which the clustering of some multivariate data is desired, which establishes an ordering of the clusters with respect to an underlying latent variable. As our motivating example for a situation where such a technique is desi... Read More about Directed Clustering of Multivariate Data Based on Linear or Quadratic Latent Variable Models.

A Distance-Based Statistic for Goodness-of-Fit Assessment (2024)
Book Chapter
Jayakumari, D., Einbeck, J., Hinde, J., & Moral, R. A. (2024). A Distance-Based Statistic for Goodness-of-Fit Assessment. In J. Einbeck, H. Maeng, E. Ogundimu, & K. Perrakis (Eds.), Developments in Statistical Modelling (263-268). Springer. https://doi.org/10.1007/978-3-031-65723-8_40

The modelling of count data in real world scenarios often requires models that address over-dispersion. Within the generalized linear modeling framework, various over-dispersion models are available as extensions of the basic Poisson model. Graphical... Read More about A Distance-Based Statistic for Goodness-of-Fit Assessment.

Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker (2024)
Book Chapter
Cai, Y., Einbeck, J., Barnard, S., & Ainsbury, E. (2024). Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker. In Developments in Statistical Modelling (239-245). Springer. https://doi.org/10.1007/978-3-031-65723-8_37

In order to analyze the potential damage to the human body caused by exposure to ionizing radiation, one needs to have an estimation of the dose of radiation received by the individual. In the context of a protein-based biomarker for radiation exposu... Read More about Estimating Dose and Time of Exposure from a Protein-Based Radiation Biomarker.

Elicitation of Priors for Intervention Effects in Educational Trial Data (2024)
Book Chapter
Zhang, Q., Uwimpuhwe, G., Vallis, D., Singh, A., Coolen-Maturi, T., & Einbeck, J. (2024). Elicitation of Priors for Intervention Effects in Educational Trial Data. In J. Einbeck, H. Maeng, E. Ogundimu, & K. Perrakis (Eds.), Developments in Statistical Modelling (28-33). Springer. https://doi.org/10.1007/978-3-031-65723-8_5

Effect sizes for educational interventions are commonly small, and hence decisions to re-grant efficacy trials (small trials with homogeneous populations under idealized conditions) as effectiveness trials (larger trials with heterogeneous population... Read More about Elicitation of Priors for Intervention Effects in Educational Trial Data.

The effects of lockdown during the COVID-19 pandemic on fetal movement profiles (2024)
Journal Article
Reissland, N., Ustun, B., & Einbeck, J. (2024). The effects of lockdown during the COVID-19 pandemic on fetal movement profiles. BMC Pregnancy and Childbirth, 24(1), 56. https://doi.org/10.1186/s12884-024-06259-8

Purpose: The current study investigated the direct impact of the COVID-19 lockdown on fetal movements, addressing a critical research gap. While previous research has predominantly examined the effects of lockdown on maternal health and postnatal out... Read More about The effects of lockdown during the COVID-19 pandemic on fetal movement profiles.

A Versatile Model for Clustered and Highly Correlated Multivariate Data (2024)
Journal Article
Zhang, Y., & Einbeck, J. (2024). A Versatile Model for Clustered and Highly Correlated Multivariate Data. Journal of statistical theory and practice, 18(1), Article 5. https://doi.org/10.1007/s42519-023-00357-0

For the analysis of multivariate data with an approximately one-dimensional latent structure, it is suggested to model this latent variable by a random effect, allowing for the use of mixed model methodology for dimension reduction purposes. We imple... Read More about A Versatile Model for Clustered and Highly Correlated Multivariate Data.

A fresh look at mean-shift based modal clustering (2023)
Journal Article
Ameijeiras-Alonso, J., & Einbeck, J. (online). A fresh look at mean-shift based modal clustering. Advances in Data Analysis and Classification, https://doi.org/10.1007/s11634-023-00575-1

Modal clustering is an unsupervised learning technique where cluster centers are identified as the local maxima of nonparametric probability density estimates. A natural algorithmic engine for the computation of these maxima is the mean shift procedu... Read More about A fresh look at mean-shift based modal clustering.

A Robust Bayesian Approach for Causal Inference Problems (2023)
Presentation / Conference Contribution
Basu, T., Troffaes, M. C. M., & Einbeck, J. (2023, September). A Robust Bayesian Approach for Causal Inference Problems. Presented at ECSQARU 2023, Arras, France

Causal inference concerns finding the treatment effect on subjects along with causal links between the variables and the outcome. However, the underlying heterogeneity between subjects makes the problem practically unsolvable. Additionally, we often... Read More about A Robust Bayesian Approach for Causal Inference Problems.

Improving power calculations in educational trials (2023)
Report
Singh, A., Uwimpuhwe, G., Vallis, D., Akhter, N., Coolen-Maturi, T., Einbeck, J., Higgins, S., Culliney, M., & Demack, S. (2023). Improving power calculations in educational trials. Education Endowment Foundation

The aim of this study was to investigate and empirically derive parameters commonly used for statistical power and sample size calculations to better inform future trial design. Towards achieving this aim, the research project leveraged the richness... Read More about Improving power calculations in educational trials.

Tools for Assessing Goodness of Fit of GLMs: Case Studies in Entomology (2023)
Book Chapter
Jayakumari, D., Hinde, J., Einbeck, J., & Moral, R. A. (2024). Tools for Assessing Goodness of Fit of GLMs: Case Studies in Entomology. In Modelling Insect Populations in Agricultural Landscapes (211-235). Springer International Publishing. https://doi.org/10.1007/978-3-031-43098-5_11

In this chapter, we discuss the analysis of data that typically arise from entomological studies using generalized linear models. We focus on techniques that can be used to assess model goodness of fit, which is an important step in statistical model... Read More about Tools for Assessing Goodness of Fit of GLMs: Case Studies in Entomology.

A Sequential Cross-Sectional Analysis Producing Robust Weekly COVID-19 Rates for South East Asian Countries (2023)
Journal Article
Almohaimeed, A., & Einbeck, J. (2023). A Sequential Cross-Sectional Analysis Producing Robust Weekly COVID-19 Rates for South East Asian Countries. Viruses, 15(7), Article 1572. https://doi.org/10.3390/v15071572

The COVID-19 pandemic has expanded fast over the world, affecting millions of people and generating serious health, social, and economic consequences. All South East Asian countries have experienced the pandemic, with various degrees of intensity and... Read More about A Sequential Cross-Sectional Analysis Producing Robust Weekly COVID-19 Rates for South East Asian Countries.

Individual participant data meta-analysis: pooled effect of EEF funded educational trials on low baseline attaining group (2023)
Presentation / Conference Contribution
Uwimpuhwe, G., Singh, A., Akhter, N., Ashraf, B., Coolen-Maturi, T., Robinson, T., Higgins, S., & Einbeck, J. (2023, July). Individual participant data meta-analysis: pooled effect of EEF funded educational trials on low baseline attaining group. Presented at International Workshop on Statistical Modelling, Dortmund

The Education Endowment Foundation (EEF), a charity aiming to break the link between socioeconomic disadvantage and pupil attainment, has commissioned over 200 randomised controlled trials. The collection of data from these trials, the `EEF Data Arch... Read More about Individual participant data meta-analysis: pooled effect of EEF funded educational trials on low baseline attaining group.

Use of a targeted, computer/web-based guided self-help psychoeducation toolkit for distressing hallucinations (MUSE) in people with an at-risk mental state for psychosis: protocol for a randomised controlled feasibility trial (2023)
Journal Article
Hamilton, J., Arnott, B., Aynsworth, C., Barclay, N. A., Birkett, L., Brandon, T., …Fernyhough, C. (2023). Use of a targeted, computer/web-based guided self-help psychoeducation toolkit for distressing hallucinations (MUSE) in people with an at-risk mental state for psychosis: protocol for a randomised controlled feasibility trial. BMJ Open, 13(6), Article e076101. https://doi.org/10.1136/bmjopen-2023-076101

Individuals who access at-risk mental state (ARMS) services often have unusual sensory experiences and levels of distress that lead them to seek help. The Managing Unusual Sensory Experiences (MUSE) treatment is a brief symptom targeted intervention... Read More about Use of a targeted, computer/web-based guided self-help psychoeducation toolkit for distressing hallucinations (MUSE) in people with an at-risk mental state for psychosis: protocol for a randomised controlled feasibility trial.

Cumulant-Based Goodness-of-Fit Tests for the Tweedie, Bar-Lev and Enis Class of Distributions (2023)
Journal Article
Bar-Lev, S. K., Batsidis, A., Einbeck, J., Liu, X., & Ren, P. (2023). Cumulant-Based Goodness-of-Fit Tests for the Tweedie, Bar-Lev and Enis Class of Distributions. Mathematics, 11(7), Article 1603. https://doi.org/10.3390/math11071603

The class of natural exponential families (NEFs) of distributions having power variance functions (NEF-PVFs) is huge (uncountable), with enormous applications in various fields. Based on a characterization property that holds for the cumulants of the... Read More about Cumulant-Based Goodness-of-Fit Tests for the Tweedie, Bar-Lev and Enis Class of Distributions.