Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Benjamin M. Taylor"'
Publikováno v:
Journal of Statistical Software, Vol 77, Iss 1, Pp 1-32 (2017)
Survival methods are used for the statistical modelling of time-to-event data. Survival data are characterized by a set of complete records, in which the time of the event is known; and a set of censored records, in which the event was known to have
Externí odkaz:
https://doaj.org/article/efa3166c06c448d7a08519d866d8a408
Publikováno v:
Journal of Statistical Software, Vol 63, Iss 1, Pp 1-48 (2015)
Log-Gaussian Cox processes are an important class of models for spatial and spatiotemporal point-pattern data. Delivering robust Bayesian inference for this class of models presents a substantial challenge, since Markov chain Monte Carlo (MCMC) algor
Externí odkaz:
https://doaj.org/article/7d0757293abe4be59caba49757a11125
Publikováno v:
Journal of Statistical Software, Vol 52, Iss 4 (2013)
This paper introduces an R package for spatial and spatio-temporal prediction and forecasting for log-Gaussian Cox processes. The main computational tool for these models is Markov chain Monte Carlo (MCMC) and the new package, lgcp, therefore also pr
Externí odkaz:
https://doaj.org/article/bf6762deb0ec4f3f9df70c178f7c775b
Autor:
Eugenio Parise, Claire Monroy, Estefanía Domínguez-Martínez, Oscar Portolés Marin, Vincent M. Reid, Benjamin M. Taylor
Publikováno v:
Developmental Psychobiology, 63(8):e22217
The current study examined the effects of variability on infant event-related potential (ERP) data editing methods. A widespread approach for analyzing infant ERPs is through a trial-by-trial editing process. Researchers identify electroencephalogram
Autor:
Benjamin M. Taylor, Paul B. Hicks, Sherrell T. Lam, Jon K. Lindefjeld, Luis F. Pereira, Daniel R. Fisher, Colin M. Smith, Kelly L. Cozza, John J. Faragon
Publikováno v:
HIV Psychiatry ISBN: 9783030806644
HIV Psychiatry
HIV Psychiatry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e2fb50212ebf4736baa777873877848
https://doi.org/10.1007/978-3-030-80665-1_17
https://doi.org/10.1007/978-3-030-80665-1_17
Autor:
Jesem Douglas Yamall Orellana, Gemma Davies, Luke Parry, Marcelo Cunha, Erick A. Chacón-Montalván, Benjamin M. Taylor
Amazonian populations are increasingly exposed to climatic shocks, yet knowledge of related health impacts is limited. Understanding how health risks are coproduced by local climatic variability, place and social inequities is vital for improving dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::296b1b0ac5bf17ade9f8726ea87e3cbb
https://doi.org/10.1038/s41893-021-00684-9
https://doi.org/10.1038/s41893-021-00684-9
Publikováno v:
BMJ Open
BMJ Open, Vol 10, Iss 3 (2020)
BMJ Open, Vol 10, Iss 3 (2020)
ObjectiveThis paper aims to understand spatial and temporal trends in pregabalin prescribing and the relationship with deprivation across England at both general practice and clinical commissioning group (CCG) levels.DesignA set of 207 independent ge
Publikováno v:
Acta Tropica
Acta Tropica, Elsevier, 2020, 208, pp.105519. ⟨10.1016/j.actatropica.2020.105519⟩
Acta Tropica, 2020, 208, pp.105519. ⟨10.1016/j.actatropica.2020.105519⟩
Acta Tropica, Elsevier, 2020, 208, pp.105519. ⟨10.1016/j.actatropica.2020.105519⟩
Acta Tropica, 2020, 208, pp.105519. ⟨10.1016/j.actatropica.2020.105519⟩
Highlights • Vector indices are often poor predictors of geographic disease risk. • When longitudinal vector surveillance data is available, vector population dynamics parameters can be estimated. • Vector population dynamics are investigated a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::099d6dec39093b2b15ffad0b673380a6
https://hal.archives-ouvertes.fr/hal-02917265
https://hal.archives-ouvertes.fr/hal-02917265
Publikováno v:
Spatial and Spatio-temporal Epidemiology. 21:37-46
Background: Spatio-temporal variation in under-five-year-old children malnutrition remains unstudied in most developing countries like Ghana. This study explores and forecasts the spatio-temporal patterns in childhood chronic malnutrition among these
This article introduces new methods for inference with count data registered on a set of aggregation units. Such data are omnipresent in epidemiology due to confidentiality issues: it is much more common to know the county in which an individual resi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a34deb2ad3a325d88ae7a2c24463cc3
https://doi.org/10.1111/rssa.12347
https://doi.org/10.1111/rssa.12347