We study the dynamics of cause--specific mortality rates among countries by considering them as compositions of functions. We develop a novel framework for such data structure, with particular attention to functional PCA. The application of this method to a subset of the WHO mortality database reveals the main modes of variation of cause--specific rates over years for men and women and enables us to perform clustering in the projected subspace. The results give many insights of the ongoing trends, only partially explained by past literature, that the considered countries are undergoing. We are also able to show the different evolution of cause of death undergone by men and women: for example, we can see that while lung cancer incidence is stabilizing for men, it is still increasing for women.
Moderation effects and elasticities in compositional regression with a total. Application to Bayesian spatiotemporal modelling of all-cause mortality from environmental stressors
University of Girona（赫罗纳大学）；Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública, Instituto de Salud Carlos III（公共卫生与流行病学生物医学研究中心，卡洛斯三世健康研究所）
Climate sensitivity analysis -- A case study from forty years of US compositional cause of death data
Research School of Finance, Actuarial Studies and Statistics（金融、精算与统计研究学院）；Australian National University（澳大利亚国立大学）；Department of Actuarial Studies and Business Analytics（精算研究与商业分析系）；Macquarie University（麦考瑞大学）
Suicide Mortality in Spain (2010-2022): Temporal Trends, Spatial Patterns, and Risk Factors
Public University of Navarre（纳瓦拉公立大学）；Centro Asociado UNED-Pamplona（UNED潘普洛纳关联中心）；Institute for Innovation and Sustained Development in Food Chain (ISFOOD), Public University of Navarre（纳瓦拉公立大学食品链创新与可持续发展研究所）；IdiSNA, Navarra Institute for Health Research（纳瓦拉健康研究所）；Biomedical Research Center Network on Physiopathology of Obesity and Nutrition, CIBEROBN, Institute of Health Carlos III（卡洛斯三世卫生研究所肥胖与营养病理学生物医学研究中心网络）
Nonparametric Trend Estimation in Functional Time Series with Application to Annual Mortality Rates
Here, we address the problem of trend estimation for functional time series . Existing contributions either deal with detecting a functional trend or assuming a simple model. They consider neither the estimation of a general functional trend nor the analysis of functional time series with a functional trend component. Similarly to univariate time series , we propose an alternative methodology to analyze functional time series , taking into account a functional trend component. We propose to estimate the functional trend by using a tensor product surface that is easy to implement, to interpret,…
Bayesian ACCESS for Understanding Latent Epidemic Trajectories from Publicly Released Suppressed Data: Application to U.S. Opioid-related Overdose Mortality
The University of Texas Health Science Center at Houston（休斯顿德克萨斯大学健康科学中心）
