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Andrew P. Holmes
Researcher at AstraZeneca
Publications - 60
Citations - 31087
Andrew P. Holmes is an academic researcher from AstraZeneca. The author has contributed to research in topics: Parametric statistics & Population. The author has an hindex of 35, co-authored 59 publications receiving 29643 citations. Previous affiliations of Andrew P. Holmes include Hammersmith Hospital & University College London.
Papers
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Book ChapterDOI
CHAPTER 65 – Nonparametric Analysis of Statistic Images from Functional Mapping Experiments
TL;DR: In contrast to the parametric approaches, the authors presented a nonparametric procedure that is intuitive, flexible, and exact, given minimal assumptions regarding the mechanisms generating the data, which can consider any voxel statistic, including "pseudo" t-statistic images computed with smoothed variance estimates.
Journal ArticleDOI
Pneumonia risk with inhaled fluticasone furoate and vilanterol in COPD patients with moderate airflow limitation: The SUMMIT trial
Courtney Crim,Peter M.A. Calverley,Julie A. Anderson,Andrew P. Holmes,Sally Kilbride,Fernando J. Martinez,Robert D. Brook,David E. Newby,Julie C. Yates,Bartolome R. Celli,Jørgen Vestbo,Summit investigators +11 more
TL;DR: In contrast to previous studies in patients with severe disease, increased pneumonia risk with inhaled corticosteroid use was not evident in COPD subjects with moderate airflow limitation and heightened cardiovascular risk.
Journal ArticleDOI
Statistical methods in neuroimaging with particular application to emission tomography
TL;DR: This work reviews statistical methods being applied in four key areas connected with PET and SPECT neuroimaging: image reconstruction (briefly); tracer-kinetic, or compartmental, modelling; inference from region-of-interest data; inference at the pixel or voxel level; and analysis of data from serial scans.
Journal ArticleDOI
A thalamo-prefrontal system for representation in executive response choice.
TL;DR: A neural system (thalamic and medial prefrontal cortical regions) was demonstrated; there was greater activity involved in assigning the sound to the larger class of not‐speech‐like sounds than to the more restricted category of speech‐ like sounds.
Journal ArticleDOI
Impaired discrimination learning in interneuronal NMDAR-GluN2B mutant mice.
Jonathan L. Brigman,Rachel A. Daut,Lisa M. Saksida,Timothy J. Bussey,Kazu Nakazawa,Andrew P. Holmes +5 more
TL;DR: The results further support the role of NMDAR, and GluN2B in particular, on modulation of striatal function necessary for efficient choice behavior and suggest that N MDAR on interneurons may play a critical role in associative learning.