Analysis of underlying and multiple-cause mortality data: the life table methods.

M A Moussa

doi:10.1016/0169-2607(87)90060-5

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Analysis of underlying and multiple-cause mortality data: the life table methods.

M A Moussa

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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.

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Actuarial Analysis Age Factors Diabetes Mellitus Humans Kuwait Life Expectancy Male Mathematical Computing Mortality Neoplasms Software Design Stochastic Processes Journal Article

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M A Moussa. 1987. Analysis of underlying and multiple-cause mortality data: the life table methods.. https://doi.org/10.1016/0169-2607(87)90060-5

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