Related Experiment Video

Updated: Aug 7, 2026

An R-Based Landscape Validation of a Competing Risk Model
05:37

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

[Probability evaluation of yearly infant mortality]

E Khristov

    Naselenie (Sofia, Bulgaria : 1983)
    |January 1, 1987
    PubMed

    Insights

    Beck's coefficient offers a reliable infant mortality rate index by accounting for child migration. This method refines yearly infant mortality data using migration balance corrections.

    Area of Science:

    • Demography
    • Biostatistics

    Context:

    • Infant mortality rate (IMR) calculation is crucial for public health surveillance.
    • Existing IMR indexes often lack accuracy due to migration complexities.
    • Accurate IMR data is vital for effective child health policy development.

    Purpose:

    • To critically evaluate common infant mortality rate indexes.
    • To introduce and validate Beck's coefficient as a superior IMR index.
    • To refine IMR calculations by incorporating migration data.

    Summary:

    • Presents a critical survey of infant mortality rate indexes.
    • Introduces Beck's coefficient, an improved index using migration balance.
    • Details corrections using lower and upper elementary aggregates for migration data.
    • Applies stochastic evaluation for final infant mortality results.
    • Illustrates the methodology with Bulgarian demographic data.

    Impact:

    • Provides a more accurate method for calculating annual infant mortality rates.
    • Enhances the reliability of demographic and public health statistics.
    • Offers a refined tool for international comparisons of child mortality.

    Keywords:
    BulgariaCritiqueDemographic FactorsDeveloped CountriesEastern EuropeEstimation TechnicsEuropeInfant MortalityMeasurementMethodological StudiesMortalityPopulationPopulation DynamicsResearch Methodology

    More Related Videos

    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable09:24

    Quantified Assessment of Infant's Gross Motor Abilities Using a Multisensor Wearable

    Published on: May 17, 2024

    Related Concept Videos

    Probability Laws01:49

    Probability Laws

    Overview
    z Scores and Area Under the Curve01:17

    z Scores and Area Under the Curve

    z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of zero.
    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,...
    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...
    Hazard Rate01:11

    Hazard Rate

    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...