Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Kubler Ross's Stages of Dying01:21

Kubler Ross's Stages of Dying

79
Elisabeth Kübler-Ross significantly advanced psychology's understanding of the process of dying with her influential book, On Death and Dying (1969). She focused on studying terminally ill individuals and outlined five stages commonly experienced when coping with death: denial, anger, bargaining, depression, and acceptance.
In denial, individuals reject the reality of their condition, often thinking, "This isn't true; I feel fine," as a way to protect themselves from...
79
Actuarial Approach01:20

Actuarial Approach

80
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,...
80
Life Tables01:22

Life Tables

111
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,...
111
Cancer Survival Analysis01:21

Cancer Survival Analysis

357
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...
357
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

450
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
450
Hazard Rate01:11

Hazard Rate

116
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...
116

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A kernel-regression framework for gait signal enhancement and inter-joint coordination: a single-subject multi-session methods study.

Computer methods in biomechanics and biomedical engineering·2026
Same author

Soft Quantization Using Entropic Regularization.

Entropy (Basel, Switzerland)·2023
See all related articles

Related Experiment Video

Updated: Jul 12, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.2K

Mortality in Germany during the COVID-19 Pandemic.

Alois Pichler1, Dana Uhlig1

  • 1Faculty of Mathematics, University of Technology Chemnitz, 09111 Chemnitz, Germany.

International Journal of Environmental Research and Public Health
|October 27, 2023
PubMed
Summary

This study developed a novel score to identify excess mortality, confirming significant increases in Germany during 2020-2022, disproportionately affecting the elderly population.

Keywords:
COVID-19excess mortalityimproving mortality ratesparametric mortality models

More Related Videos

Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

34.4K
Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
11:32

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria

Published on: February 23, 2014

15.1K

Related Experiment Videos

Last Updated: Jul 12, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.2K
Measurement of Lifespan in Drosophila melanogaster
10:00

Measurement of Lifespan in Drosophila melanogaster

Published on: January 7, 2013

34.4K
Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria
11:32

Following in Real Time the Impact of Pneumococcal Virulence Factors in an Acute Mouse Pneumonia Model Using Bioluminescent Bacteria

Published on: February 23, 2014

15.1K

Area of Science:

  • Demography
  • Epidemiology
  • Biostatistics

Background:

  • Population dynamics are influenced by factors like migration and aging.
  • COVID-19 represents an additional factor superimposed on natural mortality fluctuations.
  • Quantifying COVID-19's impact on mortality requires robust statistical methodologies.

Purpose of the Study:

  • To develop and validate a statistical score for detecting excess mortality.
  • To analyze the temporal trends of excess mortality in the German population.
  • To assess the age-specific impact of COVID-19 on mortality rates.

Main Methods:

  • Development of a novel excess mortality score.
  • Application of the score to governmental mortality data.
  • Time-series analysis of excess mortality trends.

Main Results:

  • The developed indicator revealed significant excess mortality in Germany during late 2020, 2021, and 2022.
  • Excess mortality trends were observed without explicit cause-of-death attribution.
  • The elderly demographic group showed a pronounced vulnerability to excess mortality.

Conclusions:

  • The study provides statistical evidence for excess mortality in Germany linked to the COVID-19 pandemic.
  • The developed score effectively tracks excess mortality, highlighting its temporal evolution.
  • Findings underscore the critical impact of COVID-19 on the elderly population, necessitating targeted public health strategies.