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Actuarial Approach01:20

Actuarial Approach

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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.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
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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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Assumptions of Survival Analysis

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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.
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Hazard Rate01:11

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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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Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
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[The mortality in Amsterdam from 1554 to 2021].

Lukas J A Stalpers1,2, Jan M M De Meere3, Edward L Kaplan4

  • 1Amsterdam UMC, locatie AMC, afd. Radiotherapie, Amsterdam.

Nederlands Tijdschrift Voor Geneeskunde
|September 15, 2021
PubMed
Summary

Epidemic outbreaks and mortality in Amsterdam significantly declined between 1554 and 2021 due to improved nutrition, public health measures, and understanding of disease. Chronic poverty and poor public health remain triggers for crises.

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Area of Science:

  • * Historical epidemiology
  • * Public health
  • * Social history

Background:

  • * Amsterdam experienced sharp declines in epidemic outbreaks and mortality from 1554 to 2021.
  • * This decline paralleled reductions in chronic mortality from endemic diseases like tuberculosis and malaria.

Purpose of the Study:

  • * To analyze the historical trends of epidemic and chronic mortality in Amsterdam.
  • * To explore the multifaceted factors contributing to the decline of infectious diseases and associated mortality.

Main Methods:

  • * Analysis of historical epidemiological data from Amsterdam spanning over four centuries.
  • * Review of theories including nutrition, economic prosperity, altruism, and advancements in medical and public health interventions.

Main Results:

  • * Significant reduction in the incidence and mortality of major epidemics (plague, smallpox, cholera).
  • * Concomitant decrease in deaths from endemic diseases (tuberculosis, malaria, dysentery).
  • * Identified key contributing factors: improved nutrition, increased wealth, enhanced public health strategies, and better understanding of disease causation.

Conclusions:

  • * Historical improvements in living standards and targeted public health interventions dramatically reduced epidemic and chronic disease mortality in Amsterdam.
  • * Despite progress, the risk of man-made crises exacerbating health issues persists, highlighting ongoing public health challenges.