Estimation of partial derivative functionals with application to human mortality data analysis

Author(s):  
Tao Zhang ◽  
Zhaohai Li ◽  
Aiyi Liu ◽  
Qingzhao Zhang
PLoS ONE ◽  
2018 ◽  
Vol 13 (6) ◽  
pp. e0198485 ◽  
Author(s):  
László Németh ◽  
Trifon I. Missov

JAMA ◽  
1982 ◽  
Vol 247 (6) ◽  
pp. 793 ◽  
Author(s):  
Richard A. Goodman
Keyword(s):  

Author(s):  
Ainhoa-Elena Léger ◽  
Stefano Mazzuco

AbstractThis study analyzed whether there are different patterns of mortality decline among low-mortality countries by identifying the role played by all the mortality components. We implemented a cluster analysis using a functional data analysis (FDA) approach, which allowed us to consider age-specific mortality rather than summary measures, as it analyses curves rather than scalar data. Combined with a functional principal component analysis, it can identify what part of the curves is responsible for assigning one country to a specific cluster. FDA clustering was applied to the data from 32 countries in the Human Mortality Database from 1960 to 2018 to provide a comprehensive understanding of their patterns of mortality. The results show that the evolution of developed countries followed the same pattern of stages (with different timings): (1) a reduction of infant mortality, (2) an increase of premature mortality and (3) a shift and compression of deaths. Some countries were following this scheme and recovering the gap with precursors; others did not show signs of recovery. Eastern European countries were still at Stage (2), and it was not clear if and when they will enter Stage 3. All the country differences related to the different timings with which countries underwent the stages, as identified by the clusters.


2018 ◽  
Author(s):  
Saul Justin Newman

AbstractThis study highlights how the mortality plateau in Barbi et al. [1] can be generated by low frequency, randomly distributed age misreporting errors. Furthermore, sensitivity of the late-life mortality plateau in Barbi et al. [1] to the particular age range selected for regression is illustrated. Collectively, the simulation of age misreporting errors in late-life human mortality data and a less specific model choice than that of Barbi et al. [1] highlight a clear alternative hypothesis to the cessation of ageing.


2020 ◽  
Vol 10 (4) ◽  
pp. 30049.1-30049.9
Author(s):  
Flora Farivarnia ◽  
◽  
Rasool Entezarmahdi ◽  
Mohammad Delirrad ◽  
◽  
...  

Background: This article presents the most recent mortality data in West Azerbaijan Province (WAP) of Iran in 2016 based on selected characteristics, including age, sex, state of residence, and cause of death. Methods: After the local Ethics Committee approval, we obtained the data for this systematic database study from the local health registration office. The causes of death are processed following the International Classification of Diseases, tenth revision (ICD-10). The vital statistics were refined from the yearbooks of the National Organization for Civil Registration. Results: In 2016, a total of 14688 deaths were registered in the Health Death Registration System (HDRS) and 14622 in the Civil Death Registration System (CDRS) of WAP (~4% of Iran’s mortality). The Crude Mortality Rate (CMR) was 4.30 per 1000, showing an increase of 7.5% from the 2011 rate. Of the deceased, 56.9% were males, and 60% were attributed to urban areas. On average, men died 4 years earlier than women (61.2 vs 65.3 years, respectively). The major causes of death in 2016 remained the same as in 2011. Conclusion: The pattern of human mortality in WAP is comparatively consistent with the other regions of Iran except for the higher rate of neoplasms (19.6% compared to 10.7% of the country average) and the lower ratio of certain infectious and parasitic diseases (1% compared to 3.8% of the national average). There was a significant difference in registering the state of residence between HDRS and CDRS, which is highly recommended for further investigation in future studies.


2018 ◽  
Vol 38 ◽  
pp. 773-842 ◽  
Author(s):  
Joel E. Cohen ◽  
Christina Bohk ◽  
Roland Rau

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