title: Analysis of underlying and multiple-cause mortality data: the life table methods.
abstract: The stochastic compartment model concepts are employed to analyse and construct complete and abbreviated total mortality life tables, multiple-decrement life tables for a disease, under the underlying and pattern-of-failure definitions of mortality risk, cause-elimination life tables, cause-elimination effects on saved population through the gain in life expectancy as a consequence of eliminating the mortality risk, cause-delay life tables designed to translate the clinically observed increase in survival time as the population gain in life expectancy that would occur if a treatment protocol was made available to the general population and life tables for disease dependency in multiple-cause data.
mesh_terms: D000206:Actuarial Analysis / Q000379:methods*; D000367:Age Factors; D003920:Diabetes Mellitus / Q000401:mortality; D006801:Humans; D007730:Kuwait; D008017:Life Expectancy; D008297:Male; D008432:Mathematical Computing; D009026:Mortality; D009369:Neoplasms / Q000401:mortality; D012985:Software Design; D013269:Stochastic Processes