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pro vyhledávání: '"C Paddy Farrington"'
Autor:
Doyo G. Enki, Angela Noufaily, Paul H. Garthwaite, Nick J. Andrews, André Charlett, Chris Lane, C. Paddy Farrington
Publikováno v:
Emerging Infectious Diseases, Vol 19, Iss 1, Pp 35-42 (2013)
Outbreak detection systems for use with very large multiple surveillance databases must be suited both to the data available and to the requirements of full automation. To inform the development of more effective outbreak detection algorithms, we ana
Externí odkaz:
https://doaj.org/article/370e91e4a1964075acad8ebac00b0474
Autor:
Doyo G Enki, Paul H Garthwaite, C Paddy Farrington, Angela Noufaily, Nick J Andrews, Andre Charlett
Publikováno v:
PLoS ONE, Vol 11, Iss 8, p e0160759 (2016)
A large-scale multiple surveillance system for infectious disease outbreaks has been in operation in England and Wales since the early 1990s. Changes to the statistical algorithm at the heart of the system were proposed and the purpose of this paper
Externí odkaz:
https://doaj.org/article/0f60acc9ba274311a9c20b443b081b96
Publikováno v:
Biometrical Journal. 60:1110-1120
The self-controlled case series method assumes that adverse outcomes arise according to a non-homogeneous Poisson process. This implies that it is applicable to independent recurrent outcomes. However, the self-controlled case series method may also
Autor:
Yonas Ghebremichael-Weldeselassie, Liam Smeeth, Ian J. Douglas, C. Paddy Farrington, Heather Whitaker
Publikováno v:
Statistics in Medicine. 37:643-658
We describe some simple techniques for investigating 2 key assumptions of the self-controlled case series (SCCS) method, namely, that events do not influence subsequent exposures and that events do not influence the length of observation periods. For
Autor:
Heather Whitaker, Ian J. Douglas, C. Paddy Farrington, Yonas Ghebremichael-Weldeselassie, Liam Smeeth
Publikováno v:
Computational Statistics & Data Analysis. 113:64-72
Self-controlled case series methods for events that may be classified as one of several types are described. When the event is non-recurrent, the different types correspond to competing risks. It is shown that, under circumstances that are likely to
Publikováno v:
Statistics in Medicine. 36:3022-3038
The self-controlled case series (SCCS) method is an alternative to study designs such as cohort and case control methods and is used to investigate potential associations between the timing of vaccine or other drug exposures and adverse events. It re
Publikováno v:
Biometrical Journal. 58:607-622
The self-controlled case series (SCCS) method, commonly used to investigate the safety of vaccines, requires information on cases only and automatically controls all age-independent multiplicative confounders, while allowing for an age-dependent base
Autor:
C. Paddy Farrington, Eric Benzenine, Pascale Tubert-Bitter, Catherine Quantin, Michel Velten, Frédéric Huet
Publikováno v:
American Journal of Epidemiology. 178:1731-1739
Vaccine safety studies are increasingly conducted by using administrative health databases and self-controlled case series designs that are based on cases only. Often, several criteria are available to define the cases, which may yield different posi
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 63:141-158
Summary A frailty modelling framework is presented for representing and making inference on individual heterogeneities that are relevant to the transmission of infectious diseases, including heterogeneities that evolve over time. Central to this fram
Publikováno v:
Statistics in Medicine. 33:639-649
The self-controlled case series method, commonly used to investigate potential associations between vaccines and adverse events, requires information on cases only and automatically controls all age-independent multiplicative confounders while allowi