1 citations · 1 across the 4 of their papers we have counts for
5 papers · 1 filter
Cancer mortality projection: disparities, COVID-19, and late diagnosis impact
A. Arik, A. J. G. Cairns, G. Streftaris
This paper investigates projection of two major causes of cancer mortality, breast cancer and lung cancer, by using a Bayesian modelling framework. We investigate patterns in 2001-…
Insurance pricing for breast cancer under different multiple state models
Ayse Arik, Andrew J. G. Cairns, Erengul Dodd +3
In this paper we consider pricing of insurance contracts for breast cancer risk based on three multiple state models. Using population data in England and data from the medical lit…
The effect of the COVID-19 health disruptions on breast cancer mortality for older women: A semi-Markov modelling approach
Ayse Arik, Andrew J. G. Cairns, Erengul Dodd +2
We propose a methodology to quantify the impact on breast cancer mortality of diagnostic delays caused by public health measures introduced as a response to the COVID-19 pandemic.…
Cause-of-death contributions to declining mortality improvements and life expectancies using cause-specific scenarios
Alexander M. T. L. Yiu, Torsten Kleinow, George Streftaris
In recent years, improvements in all-cause mortality rates and life expectancies for males and females in England and Wales have slowed down. In this paper, cause-specific mortalit…
Latent likelihood ratio tests for assessing spatial kernels in epidemic models
David Thong, George Streftaris, Gavin J. Gibson
One of the most important issues in the critical assessment of spatio-temporal stochastic models for epidemics is the selection of the transmission kernel used to represent the rel…