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Life Tables01:22

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A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
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Applications of Life Tables01:22

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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
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The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
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Related Experiment Video

Updated: Sep 16, 2025

Measurement of Lifespan in Drosophila melanogaster
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Timing of Term Births and Associated Mortality Risks: Ecological Analysis Across 28 European Countries.

Jóhanna Gunnarsdóttir1,2, Marianne Philibert3, Mika Gissler4,5

  • 1Faculty of Medicine, University of Iceland, Reykjavik, Iceland.

BJOG : an International Journal of Obstetrics and Gynaecology
|July 10, 2025
PubMed
Summary

Stillbirth rates were lower in countries with higher early-term birth rates, which may indicate fewer elective inductions or cesareans. However, perinatal mortality rates showed no significant difference across groups.

Keywords:
early‐term birthneonatal deathperinatal deathstillbirth

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Area of Science:

  • Perinatal Epidemiology
  • Public Health
  • Maternal-Fetal Medicine

Background:

  • Early-term birth (37–38 weeks) is often a proxy for elective delivery practices.
  • Understanding the relationship between early-term birth rates and mortality is crucial for optimizing obstetric care.

Purpose of the Study:

  • To investigate the association between early-term birth rates and stillbirth and perinatal mortality rates across European countries.
  • To assess if higher rates of early-term births correlate with different mortality outcomes.

Main Methods:

  • Ecological study utilizing national birth data from 28 European countries (2015–2020).
  • Countries were categorized into terciles (low, medium, high) based on early-term birth percentages.
  • Random-effects meta-analysis compared stillbirth and perinatal death rates per 1000 births (≥37 weeks) between groups.

Main Results:

  • Early-term birth rates varied widely (17.8% to 49.1%).
  • The pooled stillbirth rate was lower in the highest early-term birth tercile (1.05/1000) compared to the lowest (1.28/1000) (p=0.05).
  • No significant difference in perinatal mortality rates was observed between the terciles (p=0.71).

Conclusions:

  • While stillbirth rates tended to be lower with higher early-term birth rates, this association needs careful interpretation due to significant heterogeneity.
  • Perinatal mortality rates did not differ significantly across groups, suggesting complex factors influence outcomes beyond elective birth timing.