Related Experiment Video
Updated: May 2, 2026

06:48
Breakfast Habits among Schoolchildren in the City of Uruguaiana, Brazil
Published on: July 29, 2020
4.4K
[Completeness of mortality statistics in Navarra, Spain]
Revista Espanola De Salud Publica
|February 20, 2014
Summary
Navarra
Area of Science:
- Demography
- Public Health
- Gerontology
Background:
- Navarra, Spain, exhibits exceptionally high life expectancy for women.
- Assessing mortality data completeness is crucial for accurate demographic analysis.
Purpose of the Study:
- Evaluate the completeness of Navarra's 2009 official mortality statistics.
- Determine the impact of potential under-registration on life expectancy calculations.
Main Methods:
- Compared official death records (Instituto Nacional de Estadística) with a multi-source case-finding approach.
- Included electronic health records and legal medicine data for comprehensive death ascertainment.
Main Results:
- Identified 5,249 deaths; 103 were missing from official statistics, indicating 98.4% completeness.
- Corrected life expectancy for women decreased slightly from 86.6 to 86.4 years; for men, from 80.0 to 79.6 years.
Conclusions:
- Official mortality statistics in Navarra are largely complete, with no significant under-registration.
- Confirms the leading position of Navarrese women in European longevity, with a life expectancy of 86.4 years.
Related Concept Videos
Life Tables
674
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,...
674
Applications of Life Tables
429
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...
429
Statistical Methods for Analyzing Epidemiological Data
1.3K
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
1.3K
Actuarial Approach
384
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,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
384
Assumptions of Survival Analysis
492
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.
492
Overview of Biostatistics in Health Sciences
4.8K
Biostatistics involves the application of statistical techniques to scientific research in health-related fields, including biology and public health. These techniques are essential for designing studies, collecting data, and analyzing it to draw meaningful conclusions. Given the complexity of biological processes, particularly in studies involving human subjects, biostatistical methods are crucial for effectively organizing and interpreting data that might otherwise obscure underlying patterns...
4.8K

