Modelling of temporal exposure to the ambient environment and eczema severity
B.R. Thomas,B.R. Thomas,X.L. Tan,S. Javadzadeh,E.J. Robinson,B.S. McDonald,B.S. McDonald,M.A. Krupiczojc,M.A. Krupiczojc,S. Rahman,S. Rahman,S. Rahman,S. Rahman,R.A. Ahmed,R.A. Ahmed,R. Begum,R. Begum,H. Khanam,H. Khanam,David P. Kelsell,J. Grigg,J. Grigg,R.J. Knell,Edel A. O'Toole,Edel A. O'Toole +24 more
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TLDR
In this article, the temporal association of weather and pollution parameters with eczema severity was investigated by using logistic generalized additive models and a model selection process, and they found that tropospheric ozone (O3) averaged over the preceding 270 days was strongly associated with severity alongside the exposure to fine particles with diameters of 2.5 μm or less (PM2.5).Abstract:
Atopic eczema is a common and complex disease. Missing genetic hereditability and increasing prevalence in industrialising nations point towards an environmental driver. We investigated the temporal association of weather and pollution parameters with eczema severity. This cross-sectional clinical study was performed between May 2018 and March 2020 and is part of the Tower Hamlets Eczema Assessment. All participants had a diagnosis of eczema, lived in East London, were of Bangladeshi ethnicity and were less than 31 years of age. The primary outcome was the probability of having an EASI score > 10 after prior ambient exposure to commonly studied meteorological variables and pollutants. There were 430 participants in EASI ≤ 10 and 149 in EASI >10 groups. By using logistic generalized additive models and a model selection process, we found that tropospheric ozone (O3) averaged over the preceding 270 days was strongly associated with eczema severity alongside the exposure to fine particles with diameters of 2.5 μm or less (PM2.5) averaged over the preceding 120 days. In our models and analyses PM2.5 appeared to largely act in a supporting role to O3. We demonstrate that long-term exposure to ground-level ozone at high levels has the strongest association with eczema severity.read more
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Book
Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach
TL;DR: The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference).
Journal ArticleDOI
A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010
Stephen S Lim,Theo Vos,Abraham D. Flaxman,Goodarz Danaei,Kenji Shibuya,Heather Adair-Rohani,Mohammad A. AlMazroa,Markus Amann,H. Ross Anderson,Kathryn G. Andrews,Martin J. Aryee,Charles Atkinson,Loraine J. Bacchus,Adil N. Bahalim,Kalpana Balakrishnan,John R. Balmes,Suzanne Barker-Collo,Amanda J Baxter,Michelle L. Bell,Jed D. Blore,Fiona M. Blyth,Carissa Bonner,Guilherme Borges,Rupert R A Bourne,Michel Boussinesq,Michael Brauer,Peter Brooks,Nigel Bruce,Bert Brunekreef,Claire Bryan-Hancock,Chiara Bucello,Rachelle Buchbinder,Fiona Bull,Richard T. Burnett,Tim Byers,Bianca Calabria,Jonathan R. Carapetis,Emily Carnahan,Zoë Chafe,Fiona J Charlson,Honglei Chen,Jian Shen Chen,Andrew T. A. Cheng,Jennifer C. Child,Aaron Cohen,K. Ellicott Colson,Benjamin C Cowie,Sarah C. Darby,Susan Darling,Adrian Davis,Louisa Degenhardt,Frank Dentener,Don C. Des Jarlais,Karen Devries,Mukesh Dherani,Eric L. Ding,E. Ray Dorsey,Tim Driscoll,Karen Edmond,S. Ali,Rebecca E. Engell,Patricia J. Erwin,Saman Fahimi,Gail Falder,Farshad Farzadfar,Alize J. Ferrari,Mariel M. Finucane,Seth Flaxman,F.G.R. Fowkes,Greg Freedman,Michael Freeman,Emmanuela Gakidou,Santu Ghosh,Edward Giovannucci,Gerhard Gmel,Kathryn Graham,Rebecca Grainger,Rebecca Grainger,Bridget F. Grant,David Gunnell,Hialy R. Gutierrez,Wayne Hall,Hans W. Hoek,Anthony Hogan,H. Dean Hosgood,Damian G Hoy,Howard Hu,Bryan Hubbell,Sally Hutchings,Sydney E. Ibeanusi,Gemma Jacklyn,Rashmi Jasrasaria,Jost B. Jonas,Haidong Kan,John A. Kanis,Nicholas J Kassebaum,Norito Kawakami,Young-Ho Khang,Shahab Khatibzadeh,Jon-Paul Khoo,Cindy Kok,Francine Laden,Ratilal Lalloo,Qing Lan,Tim Lathlean,Janet L Leasher,James Leigh,Yang Li,John K Lin,Steven E. Lipshultz,Stephanie J. London,Rafael Lozano,Yuan Lu,Joelle Mak,Reza Malekzadeh,Leslie Mallinger,Wagner Marcenes,Lyn March,Robin Marks,Randall V. Martin,Paul McGale,John J. McGrath,Sumi Mehta,Ziad A. Memish,George A. Mensah,Tony R. Merriman,Renata Micha,Renata Micha,Catherine Michaud,Vinod Mishra,Khayriyyah Mohd Hanafiah,Ali A. Mokdad,Lidia Morawska,Dariush Mozaffarian,Tasha B. Murphy,Mohsen Naghavi,Bruce Neal,Paul K. Nelson,Joan M. Nolla,Rosana E. Norman,Casey Olives,Saad B. Omer,Jessica Orchard,Richard H. Osborne,Bart Ostro,Andrew Page,Kiran Pandey,Charles D. H. Parry,Erin Passmore,Jayadeep Patra,Neil Pearce,Pamela M. Pelizzari,Max Petzold,Michael Phillips,Daniel Pope,C. Arden Pope,John Powles,Mayuree Rao,Homie Razavi,Eva Rehfuess,Jürgen Rehm,Beate Ritz,Frederick P. Rivara,Thomas Roberts,Carolyn Robinson,Jose Adolfo Rodriguez-Portales,Isabelle Romieu,Robin Room,Lisa C. Rosenfeld,Ananya Roy,Lesley Rushton,Joshua A. Salomon,Uchechukwu Sampson,Lidia Sanchez-Riera,Ella Sanman,Amir Sapkota,Soraya Seedat,Peilin Shi,Kevin D. Shield,Rupak Shivakoti,Gitanjali M Singh,David A. Sleet,Emma Smith,Kirk R. Smith,Nicolas J. C. Stapelberg,Kyle Steenland,Heidi Stöckl,Lars Jacob Stovner,Kurt Straif,Lahn Straney,George D. Thurston,Jimmy H. Tran,Rita Van Dingenen,Aaron van Donkelaar,J. Lennert Veerman,Lakshmi Vijayakumar,Robert G. Weintraub,Myrna M. Weissman,Richard A. White,Harvey Whiteford,Steven T. Wiersma,James D. Wilkinson,Hywel C Williams,Warwick Williams,Nick Wilson,Anthony D. Woolf,Paul S. F. Yip,Jan M Zielinski,Alan D. Lopez,Christopher J L Murray,Majid Ezzati +210 more
TL;DR: In this paper, the authors estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010.
Journal ArticleDOI
Multimodel Inference Understanding AIC and BIC in Model Selection
TL;DR: Various facets of such multimodel inference are presented here, particularly methods of model averaging, which can be derived as a non-Bayesian result.
Book
Generalized Additive Models: An Introduction with R, Second Edition
TL;DR: In this article, a simple linear model is proposed to describe the geometry of linear models, and a general linear model specification in R is presented. But the theory of linear model theory is not discussed.
Journal ArticleDOI
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Carsten F. Dormann,Jane Elith,Sven Bacher,Carsten M. Buchmann,Gudrun Carl,Gabriel Carré,Jaime Ricardo García Márquez,Bernd Gruber,Bruno Lafourcade,Pedro J. Leitão,Tamara Münkemüller,Colin J. McClean,Patrick E. Osborne,Björn Reineking,Boris Schröder,Andrew K. Skidmore,Damaris Zurell,Sven Lautenbach +17 more
TL;DR: It was found that methods specifically designed for collinearity, such as latent variable methods and tree based models, did not outperform the traditional GLM and threshold-based pre-selection and the value of GLM in combination with penalised methods and thresholds when omitted variables are considered in the final interpretation.
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