As in the Estonian study, the estimate of the private costs relies on two basic ingredients, the effects of education on life expectancy (the number of years an individual is expected to live at a given age) and the effects on quality-adjusted life years, or QALY.
Continuing with the example above, if this individual has an HRQL score of 0.6 at age 60 and is expected to live for 10 more years, the remaining quality-adjusted life expectancy at age 60 is 0.6 × 10 = 6 QALYs.
By using standard life table methods, these age specific mortality rates were used to estimate life expectancy from age 50 (defined as the number of years one is expected to live having survived to age 50) and its standard error.
Life expectancy is a statistical projection of the length a human being is expected to live based upon probabilities and assumptions of genetic predispositions, living conditions, medical discoveries and advances, natural disasters and other environmental factors.
A child in Shanghai is expected to live 82 years.
The child survived and is expected to live.
Labour is expected to live up to its own principles.
A male who was 20 years old in 2002 is expected to live to 77.
By 2050, roughly 75 percent of the world's population is expected to live in cities.
The Sun, by comparison, is expected to live about four billion years.
