Regularity Conditions for Critical Point Convergence

Maullin-Sapey, T., and Davenport, S. (2025). ArXiv Preprint.

We focus on a sequence of functions, {f_n}, defined on a compact manifold with boundary S, converging in the Ck metric to a limit f. A common assumption implicitly made in the empirical sciences is t... (see more)
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Spatial Confidence Regions for Combinations of Excursion Sets in Image Analysis

Maullin-Sapey, T., Schwartzman, A. and Nichols, T.E. (2023). JRSSB.

The analysis of excursion sets in imaging data is essential to a wide range of scientific disciplines such as neuroimaging, climatology and cosmology. Despite growing literature, there is little publi... (see more)
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An Improved Pipeline for Constructing UK Biobank Brain Imaging Confounds

Radosavljevic, L. et al. (2025). MedRxiv Preprint.

The UK Biobank (UKB) brain imaging data is a one-of-a-kind resource for studying the links between the brain and demographic-, lifestyle- and genetic data. When establishing such links, it is cruci... (see more)
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Alcohol consumption and MRI markers of brain structure and function: Cohort study of 25,378 UK Biobank participants

Topiwala, A., Ebmeier, K.P., Maullin-Sapey, T. and Nichols, T.E. (2022). NeuroImage.

Moderate alcohol consumption is widespread but its impact on brain structure and function is contentious. The relationship between alcohol intake and structural and functional neuroimaging indices, th... (see more)
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BLMM: Parallelised computing for big linear mixed models

Maullin-Sapey, T. and Nichols, T.E. (2022). NeuroImage.

Within neuroimaging large-scale, shared datasets are becoming increasingly commonplace, challenging existing tools both in terms of overall scale and complexity of the study designs. As sample sizes g... (see more)
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Fisher Scoring for Crossed Factor Linear Mixed Models

Maullin-Sapey, T. and Nichols, T.E. (2021). Statistics and Computing.

The analysis of longitudinal, heterogeneous or unbalanced clustered data is of primary importance to a wide range of applications. The linear mixed model (LMM) is a popular and flexible extension of t... (see more)
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