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

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...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
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 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,...
Cancer Survival Analysis01:21

Cancer Survival Analysis

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...

You might also read

Related Articles

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

Sort by
Same author

Implementation and outcome of personalized treatment strategies in advanced genitourinary cancers.

ESMO open·2025
Same author

Sacituzumab govitecan in advanced urothelial carcinoma: TROPiCS-04, a phase III randomized trial.

Annals of oncology : official journal of the European Society for Medical Oncology·2025
Same author

Trisomy 18 and the possibility of choice: The importance of Perinatal Hospice's support.

European journal of pediatrics·2025
Same author

Clinical significance of the anti-Nucleolar Organizer Region 90 antibodies (NOR90) in systemic sclerosis: Analysis of the European Scleroderma Trials and Research (EUSTAR) cohort and a systematic literature review.

European journal of internal medicine·2024
Same author

ESMO Clinical Practice Guideline interim update on first-line therapy in advanced urothelial carcinoma.

Annals of oncology : official journal of the European Society for Medical Oncology·2024
Same author

Observation of Single-Top-Quark Production in Association with a Photon Using the ATLAS Detector.

Physical review letters·2023
Same journal

[Italian Cystic Fibrosis Registry (ICFR). Report 2023-2024].

Epidemiologia e prevenzione·2026
Same journal

[Multicenter experience of the Lombardy Health Protection Agencies (ATS) in the application of an algorithm to estimate disability prevalence and profiles based on routine administrative data: from data sharing to regional-level analysis].

Epidemiologia e prevenzione·2026
Same journal

[Errata corrige Errata corrige Epidemiol Prev 2026;50(1):37-47].

Epidemiologia e prevenzione·2026
Same journal

[Changes in agri-food production systems and nutritional profile of foods (1930-2024)].

Epidemiologia e prevenzione·2026
Same journal

["Tell me a story": the use of storytelling for the prevention of workplace injuries].

Epidemiologia e prevenzione·2026
Same journal

[A gravity model approach to the network of Centres for Assistance and Urgency and Emergency Department in Emilia-Romagna (Northern Italy): a tool to support equitable access planning].

Epidemiologia e prevenzione·2026
See all related articles

Related Experiment Video

Updated: May 26, 2026

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

[Methods for mortality analysis in SENTIERI Project].

M De Santis1, R Pasetto, G Minelli

  • 1Dipartimento ambiente e connessa prevenzione primaria, Istituto superiore di sanità, Rome. marco.desantis@iss.it

Epidemiologia E Prevenzione
|December 15, 2011
PubMed
Summary
This summary is machine-generated.

Mortality analysis in Italian polluted sites (IPS) reveals health risks associated with environmental pollution. Standardized mortality ratios (SMR) were adjusted for socioeconomic factors to assess these risks.

Related Experiment Videos

Last Updated: May 26, 2026

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

Area of Science:

  • Environmental epidemiology
  • Public health research
  • Biostatistics

Background:

  • Italian Polluted Sites (IPS) present potential environmental health risks.
  • Assessing mortality in these areas requires robust analytical methods.
  • Socioeconomic factors can influence health outcomes and mortality rates.

Purpose of the Study:

  • To describe mortality analysis methods for 44 Italian Polluted Sites (IPS).
  • To evaluate mortality indicators, including standardized mortality ratio (SMR), adjusted for deprivation.
  • To present mortality results for specific causes linked to local pollution sources.

Main Methods:

  • Mortality data from 1995-2002 at the municipality level.
  • Calculation of crude rates, standardized rates, and SMR.
  • Development of a deprivation index using 2001 census data for SMR adjustment.
  • Analysis of 63 single or grouped causes of death.

Main Results:

  • Mortality indicators were computed for all 63 causes across 44 IPS.
  • Results for causes with a priori evidence of environmental risk are presented.
  • The study provides a detailed analysis of mortality patterns in polluted areas.

Conclusions:

  • The described methods allow for comprehensive mortality analysis in polluted sites.
  • Adjusting SMR for deprivation provides a more accurate assessment of environmental health risks.
  • This research contributes to understanding the health impact of environmental pollution in Italy.