Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Nicole H Augustin"'
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0228069 (2020)
BACKGROUND:Standardised packaging for factory made (FM) and roll your own (RYO) tobacco was fully implemented in the UK in May 2017. Around the same time, several changes to the tax system were applied (a Minimum Excise Tax (MET) for FM products and
Externí odkaz:
https://doaj.org/article/ad6977b947a54b128af6db3ecbb8bb7d
Publikováno v:
Biometrics. 78:1309-1312
In this rejoinder, we set out some of the main points that we took from the discussions of our paper "Spatial+: A novel approach to spatial confounding." The comments provided by the discussants include excellent questions and suggestions for extensi
Autor:
Serveh Sharifi Far, Vanda Inácio, Daniel Paulin, Miguel de Carvalho, Nicole H. Augustin, Mike Allerhand, Gail Robertson
Publikováno v:
Sharifi Far, S, Inacio de Carvalho, V, Paulin, D, de Carvalho, M, Augustin, N, Allerhand, M & Robertson, G 2023, ' Consultancy Style Dissertations in Statistics and Data Science: Why and How ', The American Statistician . https://doi.org/10.1080/00031305.2022.2163689
In this article, we chronicle the development of the consultancy style dissertations of the MSc program in Statistics with Data Science at the University of Edinburgh. These dissertations are based on real-world data problems, in joint supervision wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbfff2363a69ce83927b058b285eab2
https://hdl.handle.net/20.500.11820/b0a9cac9-1ded-40e5-aa90-c1004816eb1a
https://hdl.handle.net/20.500.11820/b0a9cac9-1ded-40e5-aa90-c1004816eb1a
Publikováno v:
Kim, S, Schumacher, M & Augustin, N 2021, ' A shared frailty model for multivariate longitudinal data on adverse event of radiation therapy ', Biometrical Journal . https://doi.org/10.1002/bimj.202000237
Oral mucositis is an inflammatory adverse event when treating head and neck cancer patients with radiation therapy (RT). The severity of its occurrence is believed to mainly depend on its site and the distribution of a cumulative radiation dose in th
Publikováno v:
Geospatial Health, Vol 7, Iss 1, Pp 83-89 (2012)
Our aim is to develop a method for helping resources re-allocation in healthcare linked to cancer, in order to replan the allocation of providers. Ageing of the population has a considerable impact on the use of health resources because aged people r
Externí odkaz:
https://doaj.org/article/7817856432b04b3ebba515940386fa1b
Publikováno v:
Turton, A, Augustin, N & Mitchard, E 2022, ' Improving estimates and change detection of forest above-ground biomass using statistical methods ', Remote Sensing, vol. 14, no. 19, 4911 . https://doi.org/10.3390/rs14194911
Forests store approximately as much carbon as is in the atmosphere, with potential to take in or release carbon rapidly based on growth, climate change and human disturbance. Above-ground biomass (AGB) is the largest carbon pool in most forest system
Autor:
Nicole H. Augustin, Thomas Kjeldsen, Ilaria Prosdocimi, Theresa Smith, Daniel Simpson, Emiko Dupont
Publikováno v:
Prosdocimi, I, Dupont, E, Augustin, N, Kjeldsen, T, Simpson, D & Smith, T 2019, ' Areal models for spatially coherent trend detection: the case of British peak river flows ', Geophysical Research Letters, vol. 46, no. 22, pp. 13054-13061 . https://doi.org/10.1029/2019GL085142
With increasing concerns on the impacts of climate change, there is wide interest in understanding whether hydrometric and environmental series display any sort of trend. Many studies however, focus on the analysis of highly variable individual serie
In spatial regression models, collinearity between covariates and spatial effects can lead to significant bias in effect estimates. This problem, known as spatial confounding, is encountered modelling forestry data to assess the effect of temperature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4f742a7e1bc8d1be60ab8200a4960f3
http://arxiv.org/abs/2009.09420
http://arxiv.org/abs/2009.09420
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 2, p e0228069 (2020)
PLoS ONE, Vol 15, Iss 2, p e0228069 (2020)
Background Standardised packaging for factory made (FM) and roll your own (RYO) tobacco was fully implemented in the UK in May 2017. Around the same time, several changes to the tax system were applied (a Minimum Excise Tax (MET) for FM products and
Autor:
Julian J. Faraway, Nicole H. Augustin
Publikováno v:
Faraway, J & Augustin, N 2018, ' When small data beats big data ', Statistics and Probability Letters, vol. 136, pp. 142-145 . https://doi.org/10.1016/j.spl.2018.02.031
Faraway, J & Augustin, N 2018, ' When small data beats big data ', Statistics & Probability Letters, vol. 136, pp. 142-145 . https://doi.org/10.1016/j.spl.2018.02.031
Faraway, J & Augustin, N 2018, ' When small data beats big data ', Statistics & Probability Letters, vol. 136, pp. 142-145 . https://doi.org/10.1016/j.spl.2018.02.031
Small data is sometimes preferable to big data. A high quality small sample can produce superior inferences to a low quality large sample. Data has acquisition, computation and privacy costs which require costs to be balanced against benefits. Statis