scholarly journals Forecasting Hungarian mortality rates using the Lee-Carter method

2007 ◽  
Vol 57 (1) ◽  
pp. 21-34 ◽  
Author(s):  
S. Baran ◽  
J. Gáll ◽  
M. Ispány ◽  
G. Pap
Keyword(s):  
Mortality Rates ◽  
Mortality Data ◽  
Good Prediction ◽  
Data Set ◽  
Men And Women ◽  
Carter Model

A modified version of the popular Lee-Carter method (Lee-Carter 1992) is applied to forecast mortality rates in Hungary for the period 2004–2040 on the basis of mortality data between 1949 and 2003 both for men and women. Another case is also considered based on a restricted data set corresponding to the period 1989–2003. The model fitted to the data of the period 1949–2003 forecasts increasing mortality rates for men between ages 45 and 55, pointing out that the Lee-Carter method is hardly applicable for countries where mortality rates exhibit trends as peculiar as in Hungary. However, models fitted to the data for the last 15 years both for men and women forecast decreasing trends similarly to the case of countries where the method was successfully applied. Hence one gets a better fit in this way, however, further concerns suggest that the Lee-Carter model, which is celebrated and widely used in actuarial practice, does not necessarily give sufficiently good prediction.

scholarly journals Do Different Models Induce Changes in Mortality Indicators? That Is a Key Question for Extending the Lee-Carter Model

2021 ◽  
Vol 18 (4) ◽  
pp. 2204
Author(s):  
Ana Debón ◽  
Steven Haberman ◽  
Francisco Montes ◽  
Edoardo Otranto
Keyword(s):  
Historical Data ◽  
Mortality Rates ◽  
Parametric Model ◽  
Mortality Data ◽  
Block Bootstrap ◽  
Functional Anova ◽  
Model Block ◽  
The Usa ◽  
Data Constraints ◽  
Carter Model

The parametric model introduced by Lee and Carter in 1992 for modeling mortality rates in the USA was a seminal development in forecasting life expectancies and has been widely used since then. Different extensions of this model, using different hypotheses about the data, constraints on the parameters, and appropriate methods have led to improvements in the model’s fit to historical data and the model’s forecasting of the future. This paper’s main objective is to evaluate if differences between models are reflected in different mortality indicators’ forecasts. To this end, nine sets of indicator predictions were generated by crossing three models and three block-bootstrap samples with each of size fifty. Later the predicted mortality indicators were compared using functional ANOVA. Models and block bootstrap procedures are applied to Spanish mortality data. Results show model, block-bootstrap, and interaction effects for all mortality indicators. Although it was not our main objective, it is essential to point out that the sample effect should not be present since they must be realizations of the same population, and therefore the procedure should lead to samples that do not influence the results. Regarding significant model effect, it follows that, although the addition of terms improves the adjustment of probabilities and translates into an effect on mortality indicators, the model’s predictions must be checked in terms of their probabilities and the mortality indicators of interest.

scholarly journals Births to Teens Older and Younger Than 17 Years in San Bernardino County and California

2004 ◽  
Vol 2 (2) ◽  
pp. 20-27
Author(s):  
Kofi Adade Boafo ◽  
Bruce Smith ◽  
Naomi N Modeste ◽  
Thomas J Prendergast, Jr
Keyword(s):  
Infant Mortality ◽  
Very Low Birth Weight ◽  
Age Groups ◽  
Mortality Rates ◽  
Teen Mothers ◽  
Mortality Data ◽  
San Bernardino County ◽  
Low Birth Weight Infants ◽  
Data Set ◽  
San Bernardino

Objective: The purpose of this cohort, descriptive study was to attempt to understand the variables associated with discordant infant mortality among teenagers 17-19 years old whose infants demonstrated higher mortality than infants of teenagers who were younger than 17 years old in San Bernardino County, California. The intent was to elicit further research and/or define appropriate interventions for teen mothers within the age range 17-19 years. Methods: Data was abstracted from an electronic infant mortality data set, the State of California Birth Cohort File in which birth records from San Bernardino County for the period 1989 through 1993 were matched with mortality records. Results: The data showed that infants of white teens within the 17-19 age groups were more likely to have higher infant mortality rates when compared to their younger peers. Infant mortality rates among offspring of Hispanic and black teenage mothers showed no discrepancy between the two groups nor between county and state rates. Conclusions: Further study is needed to answer why infants of white teen mothers in the 17-19 age groups have higher mortality rates. There is also a need to review the services rendered to pregnant and parenting adolescents in San Bernardino County. In addition, very low birth weight infants were much more likely to die when born to older teens than when born to younger teens.

scholarly journals Stroke Mortality Trends in the Population of Klaipėda From 1994 to 2008

Medicina ◽  
2011 ◽  
Vol 47 (9) ◽  
pp. 512 ◽  
Author(s):  
Henrikas Kazlauskas ◽  
Nijolė Raškauskienė ◽  
Rima Radžiuvienė ◽  
Vinsas Janušonis
Keyword(s):  
Mortality Rate ◽  
Mortality Rates ◽  
Mortality Data ◽  
World Population ◽  
Stroke Mortality ◽  
Middle Aged ◽  
Elderly Men ◽  
Men And Women ◽  
Specific Mortality ◽  
Permanent Residents

The objective of the study was to evaluate the trends in stroke mortality in the population of Klaipėda aged 35–79 years from 1994 to 2008. Material and Methods. Mortality data on all permanent residents of Klaipėda aged 35–79 years who died from stroke in 1994–2008 were gathered for the study. All death certificates of permanent residents of Klaipėda aged 35–79 years who died during 1994–2008 were examined in this study. The International Classification of Diseases (ICD-9 codes 430–436, and ICD-10 codes I60–I64) was used. Sex-specific mortality rates were standardized according to the Segi’s world population; all the mortality rates were calculated per 100 000 population per year. Trends in stroke mortality were estimated using log-linear regression models. Sex-specific mortality rates and trends were calculated for 3 age groups (35–79, 35–64, and 65–79 years). Results. During the entire study period (1994–2008), a marked decline in stroke mortality with a clear slowdown after 2002 was observed. The average annual percent changes in mortality rates for men and women aged 35–79 years were –4.6% (P=0.041) and –6.5% (P=0.002), respectively. From 1994 to 2002, the stroke mortality rate decreased consistently among both Klaipėda men and women aged 35–64 years (20.4% per year, P=0.002, and 14.7% per year, P=0.006, respectively) and in the elderly population aged 65–79 years (13.8% per year, P=0.005; and 12% per year, P=0.019). During 2003–2008, stroke mortality increased by 16.3% per year in middle-aged men (35–64 years), whereas among women (aged 35–64 and 65–79 years) and elderly men (aged 65–79 years), the age-adjusted mortality rate remained relatively unchanged. Conclusions. Among both men and women, the mortality rates from stroke sharply declined between 1994 and 2008 with a clear slowdown in the decline after 2002. Stroke mortality increased significantly among middle-aged men from 2003, while it remained without significant changes among women of the same age and both elderly men and women.

scholarly journals Modelling and Prediction of the Gross Mortality Rate in Ecuador

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Mónica Mite ◽  
Sandra Garcia-Bustos ◽  
Marcela Pincay ◽  
Ana Debón ◽  
Francisco Santoja
Keyword(s):  
Mortality Rate ◽  
Cohort Effect ◽  
Mortality Data ◽  
Arima Models ◽  
Men And Women ◽  
Mortality Forecasting ◽  
Basic Model ◽  
Adjusted Model ◽  
Age Range ◽  
Carter Model

This paper presents the results obtained from the modelling of the mortality data in Ecuador from 1990 to 2010, using the StMoMo library in the open source programming language R. This library was developed based on the Generalized Age-Period-Cohort Models (GAPC), among which is the Lee-Carter model, which has been widely applied in the actuarial area. The gross mortality rate of men and women in an age range of 1 to 85 years was modelled for the data of Ecuador, in the period 1990-2010. Of a total of eight models, two models have been selected because they present a good fit of the data for both genders. The first is the basic model of Lee-Carter and the second, the Plat model, which incorporates the cohort effect. A comparison was made with the two models to determine which one has a better forecast in a horizon of 20 years for specific ages. Both models show and predict the decrease in mortality in Ecuador of both genders, a decrease that is more pronounced, in general, for women at certain ages. In determining the uncertainty of the models, the bootstrap technique was used to define the confidence intervals of the adjusted model. The GAPC and ARIMA models were also compared; the former improve the mortality forecasting.

scholarly journals Long-Term Trends in Unintentional Fall Mortality in China: A Population-Based Age-Period-Cohort Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Zhenkun Wang ◽  
Youzhen Hu ◽  
Fang Peng
Keyword(s):  
Public Health Problem ◽  
Mortality Rates ◽  
Population Based ◽  
Mortality Data ◽  
Major Public Health Problem ◽  
Age Group ◽  
Men And Women ◽  
Long Term Trends ◽  
Unintentional Falls

Background: Unintentional falls seriously threaten the life and health of people in China. This study aimed to assess the long-term trends of mortality from unintentional falls in China and to examine the age-, period-, and cohort-specific effects behind them.Methods: This population-based multiyear cross-sectional study of Chinese people aged 0–84 years was a secondary analysis of the mortality data of fall injuries from 1990 to 2019, derived from the Global Burden of Disease Study 2019. Age-standardized mortality rates of unintentional falls by year, sex, and age group were used as the main outcomes and were analyzed within the age-period-cohort framework.Results: Although the crude mortality rates of unintentional falls for men and women showed a significant upward trend, the age-standardized mortality rates for both sexes only increased slightly. The net drift of unintentional fall mortality was 0.13% (95% CI, −0.04 to 0.3%) per year for men and −0.71% (95% CI, −0.96 to −0.46%) per year for women. The local drift values for both sexes increased with age group. Significant age, cohort, and period effects were found behind the mortality trends of the unintentional falls for both sexes in China.Conclusions: Unintentional falls are still a major public health problem that disproportionately threatens the lives of men and women in China. Efforts should be put in place urgently to prevent the growing number of fall-related mortality for men over 40 years old and women over 70 years old. Gains observed in the recent period, relative risks (RRs), and cohort RRs may be related to improved healthcare and better education.

scholarly journals Improvement In Colorectal Cancer Outcomes Over Time is Limited To Patients With Left-Sided Disease

2021 ◽  
Author(s):  
Holger Rumpold ◽  
Monika Hackl ◽  
Andreas Petzer ◽  
Dominik Wolf
Keyword(s):  
Colorectal Cancer ◽  
Primary Tumor ◽  
Mortality Rates ◽  
Tumor Location ◽  
Mortality Data ◽  
Cancer Outcomes ◽  
Data Set ◽  
Primary Tumor Location ◽  
Incidence And Mortality ◽  
Over Time

Abstract Purpose: Incidence and mortality of colorectal cancer (CRC) declined over the last decades. However, survival depends on the primary tumor location. It is unknown if all progress in outcomes vary depending on left-sided (LCRC) versus right sided (RCC) colorectal cancer. We compare incidence and mortality rates over time according to the primary tumor location. Methods: Data from the Austrian National Cancer Registry spanning from 1983 to 2018 were used to calculate annual incidence and mortality rates and survival stratified by primary tumor localization and stage. Joinpoint regression with linear regression models were used on different subgroups to identify significant changes of incidence- and mortality slopes.Results: A total of 168,260 (incidence-data set) and 87,355 cases (mortality data-set) were identified. Survival of disseminated RCC was worse compared to LCRC (HR 1.14; CI 1.106 – 1.169). Total and LCRC incidence- and mortality-rates declined steadily over time, whereas the rates of RCC did not. Incidence of disseminated RCC declined significantly less (slope -0.07; CI -0.086; -0.055) than in LCRC (slope -0.159; CI -0.183; -0.136); mortality rate of RCC was unchanged over time. Incidence and mortality of localized RCC remained unchanged over time, whereas both rates declined independently of stage in LCRC. Conclusion: Colorectal cancer outcomes during the last 35 years have preferentially improved in LCRC but not in RCC, indicating that the progress made is limited to LCRC. It is necessary to define RCC as a distinct form of CRC and to focus on specific strategies for its early detection and treatment.

scholarly journals A surrogate FRAX model for Pakistan

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
G. Naureen ◽  
H. Johansson ◽  
R. Iqbal ◽  
L. Jafri ◽  
A. H. Khan ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Rank Order ◽  
Mortality Rates ◽  
Fracture Probability ◽  
Mortality Data ◽  
Men And Women ◽  
Death Risk ◽  
Specific Mortality ◽  
Indian Men ◽  
Country Specific

Abstract Summary A surrogate FRAX® model for Pakistan has been constructed using age-specific hip fracture rates for Indians living in Singapore and age-specific mortality rates from Pakistan. Introduction FRAX models are frequently requested for countries with little or no data on the incidence of hip fracture. In such circumstances, the International Society for Clinical Densitometry and International Osteoporosis Foundation have recommended the development of a surrogate FRAX model, based on country-specific mortality data but using fracture data from a country, usually within the region, where fracture rates are considered to be representative of the index country. Objective This paper describes the development and characteristics of a surrogate FRAX model for Pakistan. Methods The FRAX model used the ethnic-specific incidence of hip fracture in Indian men and women living in Singapore, combined with the death risk for Pakistan. Results The surrogate model gave somewhat lower 10-year fracture probabilities for men and women at all ages compared to the model for Indians from Singapore, reflecting a higher mortality risk in Pakistan. There were very close correlations in fracture probabilities between the surrogate and authentic models (r ≥ 0.998) so that the use of the Pakistan model had little impact on the rank order of risk. It was estimated that 36,524 hip fractures arose in 2015 in individuals over the age of 50 years in Pakistan, with a predicted increase by 214% to 114,820 in 2050. Conclusion The surrogate FRAX model for Pakistan provides an opportunity to determine fracture probability within the Pakistan population and help guide decisions about treatment.

scholarly journals Hybrid of the Lee-Carter Model with Maximum Overlap Discrete Wavelet Transform Filters in Forecasting Mortality Rates

Mathematics ◽  
2021 ◽  
Vol 9 (18) ◽  
pp. 2295
Author(s):  
Nurul Aityqah Yaacob ◽  
Jamil J. Jaber ◽  
Dharini Pathmanathan ◽  
Sadam Alwadi ◽  
Ibrahim Mohamed
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Arima Model ◽  
Mortality Rates ◽  
Percentage Error ◽  
Mortality Data ◽  
Discrete Wavelet ◽  
Death Rates ◽  
Wavelet Filters ◽  
Carter Model

This study implements various, maximum overlap, discrete wavelet transform filters to model and forecast the time-dependent mortality index of the Lee-Carter model. The choice of appropriate wavelet filters is essential in effectively capturing the dynamics in a period. This cannot be accomplished by using the ARIMA model alone. In this paper, the ARIMA model is enhanced with the integration of various maximal overlap discrete wavelet transform filters such as the least asymmetric, best-localized, and Coiflet filters. These models are then applied to the mortality data of Australia, England, France, Japan, and USA. The accuracy of the projecting log of death rates of the MODWT-ARIMA model with the aforementioned wavelet filters are assessed using mean absolute error, mean absolute percentage error, and mean absolute scaled error. The MODWT-ARIMA (5,1,0) model with the BL14 filter gives the best fit to the log of death rates data for males, females, and total population, for all five countries studied. Implementing the MODWT leads towards improvement in the performance of the standard framework of the LC model in forecasting mortality rates.

Effects of age, period, and cohort on stroke mortality among the Lithuanian urban population during the 24-year follow-up period

Open Medicine ◽  
2008 ◽  
Vol 3 (3) ◽  
pp. 315-321
Author(s):  
Regina Rėklaitienė ◽  
Marius Noreika ◽  
Abdonas Tamošiūnas ◽  
Dalia Virvičiūtė ◽  
Diana Šopagienė
Keyword(s):  
Poisson Regression ◽  
Regression Models ◽  
Urban Population ◽  
Goodness Of Fit ◽  
Mortality Rates ◽  
Mortality Data ◽  
Period Effect ◽  
Stroke Mortality ◽  
Men And Women ◽  
European Standard Population

AbstractThe main purpose of this paper was to assess the effects of age, period, and cohort on stroke mortality among the urban Lithuanian population. Routine stroke mortality data among the Lithuanian urban population aged 25–64 years (1041 men and 724 women) between 1980 and 2004 were obtained from the official Kaunas region mortality register and classified by codes 430–438 and 160–169 in the 9th and 10th revisions of the International Classifications of Diseases (ICD), respectively. Mortality rates per 100,000 persons for men and women were age-adjusted using the age distribution of the European Standard Population. Goodness of fit of the Poisson regression models was evaluated using the Pearson and Freeman-Tukey residuals. During the study period, mortality rates decreased from 46.8 to 33.0 per 100,000 for men, and from 20.2 to 18.1 per 100,000 for women (average annual decrease of −1.3%, p<0.1 for men, and −1.6%, p<0.03 for women). An age effect was present in both sexes. The definite upward period effect was observed from 1990 to 1994 both among men and women, and was followed by a sharp fall during 2000–2004. Cohort and period effects have contained relevant information that partially explained trends in stroke mortality among 25–64 year-olds in the Lithuanian urban population. The Poisson regression models could be applied for the examination and explanation of the different causes of the population mortality.

Inequalities and Impact of Socioeconomic-Cultural Factors in Suicide Rates Across Italy

Crisis ◽  
2011 ◽  
Vol 32 (4) ◽  
pp. 178-185 ◽  
Author(s):  
Maurizio Pompili ◽  
Marco Innamorati ◽  
Monica Vichi ◽  
Maria Masocco ◽  
Nicola Vanacore ◽  
...  
Keyword(s):  
Suicide Rate ◽  
Age Groups ◽  
Premature Death ◽  
Mortality Rates ◽  
Mortality Data ◽  
Italian Population ◽  
Comprehensive Overview ◽  
Suicide Rates ◽  
Younger Age ◽  
Age And Sex

Background: Suicide is a major cause of premature death in Italy and occurs at different rates in the various regions. Aims: The aim of the present study was to provide a comprehensive overview of suicide in the Italian population aged 15 years and older for the years 1980–2006. Methods: Mortality data were extracted from the Italian Mortality Database. Results: Mortality rates for suicide in Italy reached a peak in 1985 and declined thereafter. The different patterns observed by age and sex indicated that the decrease in the suicide rate in Italy was initially the result of declining rates in those aged 45+ while, from 1997 on, the decrease was attributable principally to a reduction in suicide rates among the younger age groups. It was found that socioeconomic factors underlined major differences in the suicide rate across regions. Conclusions: The present study confirmed that suicide is a multifaceted phenomenon that may be determined by an array of factors. Suicide prevention should, therefore, be targeted to identifiable high-risk sociocultural groups in each country.

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