Mortality models for countries with deficient data
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Mortality models for countries with deficient data

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Published by Peter Lang in Frankfurt am Main, New York .
Written in English

Subjects:

Places:

  • Developing countries,
  • Egypt

Subjects:

  • Infants -- Developing countries -- Mortality -- Statistical methods.,
  • Infants -- Egypt -- Mortality -- Statistical methods.,
  • Mortality -- Developing countries -- Statistical methods.,
  • Developing countries -- Statistics, Vital.

Book details:

Edition Notes

Includes bibliographical references (p. 197-203).

StatementMaged Ishak.
SeriesEuropean University Studies. Series V, Economics and management,, vol. 1344, Europäische Hochschulschriften., Bd. 1344.
Classifications
LC ClassificationsHB1323.I42 D445 1992
The Physical Object
Pagination203 p. :
Number of Pages203
ID Numbers
Open LibraryOL1729737M
ISBN 103631454368
LC Control Number92034126

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A major component of this work is the development of new methods and tools for the estimation and analysis of mortality, particularly for countries where death registration data are deficient. The findings of long-memory phenomena in mortality data motivate us to develop new mortality models by extending the Lee–Carter (LC) model to death counts and incorporating long-memory model. The Lee–Carter model (Lee and Carter, ) provides the simplest way to extract a dominant temporal signal from mortality data. Letting m t, x be the (logged) central mortality rate for age x at time t then conditional on the average age-specific mortality level a x over the fitting period we extract the first principal component κ t with Cited by: 5. () proposed a functional data model to jointly model the gap between female and male age-specific mortality rates, andRaftery et al.() proposed a Bayesian method to jointly model the gap between female and male life expectancies at birth. Based on the work ofLi and Lee(), a general framework is presented byLee()File Size: KB.

Data shown (from highest mortality to lowest) are Sweden in the s, Taiwan in the s, Sri Lanka in the s, Belarus in the s, and Japan in the s. Cohort and male mortality curves have the same basic shape as these female period data (Human Life-Table Database and Human Mortality Database, 1. Introduction. With over million tons produced per year () chicken meat is the second most common animal food commodity worldwide ().In low- and middle-income countries, chickens are often raised in backyard and small-scale and flocks, supporting rural livelihoods by providing animal protein and nutrients (meat and eggs), as well as manure and feather by: 7. The National Mortality Database (NMD) holds records for deaths in Australia from The database comprises information about causes of death and other characteristics of the person, such as sex, age at death, area of usual residence and Indigenous status. Restrictions and limitations govern the availability or use of data in this holding. ciated with high-income countries, over 84% of the total global burden of disease they cause occurs in low- and middle-income countries. Reducing expo-sure to these eight risk factors would increase global life expectancy by almost 5 years. A total of million children died in , mostly in low- and middle-income countries. An.

We have discussed strategies for combining multiple data sets to forecast morbidity, disability, and mortality, and presented a three-part model based on mortality and cross-sectional risk factor or disability data from a developing country, and longitudinal risk factor and survival parameter estimates from a developed country. This model Cited by: 1. The book discusses a ""model"" of the cause structure of mortality at various levels of mortality from all causes combined; the effect of various causes on the chances of death and longevity; and the contribution of economic factors to declines in mortality during the 20th century. Leveraging on this, we propose a model that expresses log mortality rate changes as an age group dependent linear transformation of a mortality index. The mortality index is modeled as a Normal Inverse Gaussian. We demonstrate, with an exhaustive set of experiments and data sets spanning 11 countries over years, Cited by: Child Mortality. Neonatal mortality ; Under-5 mortality ; Child mortality age ; Child survival and the SDGs ; Child nutrition. Malnutrition ; Low birthweight ; Infant and young child feeding ; Iodine ; Vitamin A ; Child protection. Birth registration ; Child labour ; Child marriage ; Female genital mutilation ; Violence ; Children in alternative care ; Child poverty.