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Related Concept Videos

Applications of Life Tables01:22

Applications of Life Tables

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...
Life Tables01:22

Life Tables

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,...
Actuarial Approach01:20

Actuarial Approach

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.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

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.
The primary goal of survival analysis is to estimate survival time—the time until a...
Assumptions of Survival Analysis01:15

Assumptions of Survival Analysis

Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...

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Related Experiment Video

Updated: Jun 4, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

Marriage, divorce, and mortality: A life table analysis.

R Schoen1, V E Nelson

  • 1Railroad Retirement Board, 844 Rush Street, 60611, Chicago, Illinois.

Demography
|January 29, 2011
PubMed
Summary

This study introduces the life status table to analyze marital transitions. Findings show rising divorce rates signal significant societal and family structure changes.

Area of Science:

  • Demography
  • Sociology
  • Family Studies

Background:

  • Analysis of marital status transitions over the life course is crucial for understanding societal dynamics.
  • Previous models may not fully capture the complexities of marriage, divorce, and remarriage trends.

Purpose of the Study:

  • To develop and apply a life status table analytical model.
  • To examine marital status transitions in four Western populations, with a focus on California.
  • To analyze recent marriage, remarriage, and divorce trends.

Main Methods:

  • Development of a life status table, an analytical model tracking birth cohorts through marital statuses (never-married, married, widowed, divorced).
  • Application of the model to demographic data from four Western populations.

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High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine

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Related Experiment Videos

Last Updated: Jun 4, 2026

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine
08:53

High-Throughput Behavioral Aging and Lifespan Assays Using the Lifespan Machine

Published on: January 26, 2024

  • Specific analysis of California data from 1969.
  • Main Results:

    • California data from 1969 suggest 40% of marriages end in divorce.
    • On average, marrying males in California marry 1.67 times.
    • Women born in California can expect to spend 6.5 years divorced.

    Conclusions:

    • Rising divorce rates indicate profound shifts in American family structures.
    • These trends reflect broader changes in the fabric of American society.
    • The life status table provides a valuable tool for demographic and sociological analysis of marital trajectories.