PubMed Health⌕ Search

SEARCH · PubMed Health

Results for “Life Table Method”

Explore indexed PubMed citations for clinical trials, systematic reviews and public health research. Read source abstracts and follow each citation to its original PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 55 records · Page 3Linked to original sources
PubMed1987

[Application of the life table method to the estimation of late complications of normal tissues after radiotherapy].

In order to evaluate the treatment results of radiotherapy it is important to estimate the degree of complications of the surrounding normal tissues as well as the frequency of tumor control. In this report, the cumulative incidence rate of the late radiation injuries of the normal tissues was calculated using the modified actuarial method (Cutler-Ederer's method) or Kaplan-Meier's method, which is usually applied to the calculation of the survival rate. By the use of this method of calculation, an accurate cumulative incidence rate over time can be easily obtained and applied to the statistical evaluation of the late radiation injuries.

Actuarial Analysis↗
PubMed1991

National health objectives for the year 2000: the demographic impact of health promotion and disease prevention.

BACKGROUND: The national objectives in Healthy People 2000, drafted by health professionals aware of currently available public health interventions, represent a wealth of information about near-term future mortality and morbidity. METHODS: Life table methods were used to calculate the impact of projected changes in mortality and activity limitation rates on life expectancy and expected disability years. RESULTS: Meeting the mortality objectives would increase life expectancy at birth by 1.5 to 2.1 years, raising life expectancy to 76.6 to 77.2 years. In addition, meeting the target for disability from chronic conditions would increase the number of years of life without activity limitations from 66.8 years to 69.3-69.7 years. If the targets for coronary heart disease and unintentional injury were changed to reflect recent trends, a greater improvement in life expectancy at birth would be achieved: from 1.8 to 2.7 years to 76.9 to 77.8 years. CONCLUSION: Meeting the targets would have an important demographic impact. Including changes in the coronary heart disease and injuries targets, life expectancy in the year 2000 would be above the middle of the ranges used in current Census Bureau projections.

Aged↗
PubMed1976

The life table. A method for analyzing longitudinal studies.

The life table is presented as the method of choice for analyzing data from longitudinal studies in which the outcome under study occurs randomly and in which patients are followed up varying lengths of time. We discuss the superiority of the life table to methods typically used, the calculation of its entries, and some of the clinical uses that can be made of its results. The method is applied to follow-up data on manic-depressive patients maintained with prophylactic lithium carbonate or with control regimens, and it is shown to disclose mathematical regularities in the parameters of longitudinal course.

Adult↗
PubMed1997

How good is Sullivan's method for monitoring changes in population health expectancies?

STUDY OBJECTIVE: To compare health expectancies calculated by Sullivan's method and the multistate life table method in order to identify the magnitude of the bias in Sullivan's method and assess how seriously this limits its use for monitoring population health expectancies. DESIGN: A simulation model was used to compare health expectancies calculated using Sullivan's method and the multistate life table method under various scenarios for the evolution of disability over time in populations. The simulation model was based on abridged cohort life tables using data on French mortality from 1825-90 and disability prevalence data from the 1982 French health survey. MAIN RESULTS: The Sullivan method could not detect a sudden change in disability transition rates, but the simulations suggested that it provides a good estimate of the true multistate value if there are smooth and relatively regular changes in disability prevalence over the longer term. When disability incidence rates are increasing or decreasing smoothly over time, the absolute bias in the Sullivan estimate of disability free life expectancy is relatively constant with age. The relative bias thus increases at older ages as disability free life expectancy decreases. CONCLUSIONS: The difference between the estimates produced by the two methods was small for realistic scenarios for the evolution of population health and Sullivan's method is thus generally acceptable for monitoring relatively smooth long term trends in health expectancies for populations.

Adolescent↗
PubMed1986

Differential mortality in Turkana agriculturalists and pastoralists.

Nomadic pastoral populations appear to have much lower rates of growth than the otherwise very high growth rates now characteristic of populations in developing nations. Because dramatic declines in infant mortality have been a primary contributor to increased population growth rates in these countries, it has been assumed that nomadic pastoral populations are still characterized by high levels of mortality in the first few years of life. Few studies, however, have been undertaken to estimate demographic parameters for nomadic pastoral populations, and even fewer of a comparative nature have been undertaken to document the impact of subsistence strategy on demographic processes. This study compares indirect childhood mortality estimates for Turkana nomadic pastoralists with childhood mortality in a settled agricultural group within the same population and finds that pastoralists have substantially higher levels of mortality. Based on the childhood mortality estimates, model life tables are selected for pastoral and agricultural groups from which values for mean life expectancy and infant mortality are estimated and compared. Recent improvements in primary health care for the settled agricultural group are ruled out as being an important cause of their lower mortality levels, and some aspects of life-style associated with subsistence strategy are discussed as likely determinants of the mortality differences.

Adolescent↗