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

Statgraphics01:10

Statgraphics

451
Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
451
Introduction to Statistics01:17

Introduction to Statistics

67.5K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
67.5K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

682
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
682
Biostatistics: Overview01:20

Biostatistics: Overview

1.0K
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
1.0K
Statistical Significance01:37

Statistical Significance

23.3K
Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
23.3K
Statistical Analysis: Overview01:11

Statistical Analysis: Overview

16.8K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.8K

You might also read

Related Articles

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

Sort by
Same author

Trends in the incidence of physician-diagnosed posttraumatic stress disorder among active-duty U.S. military personnel between 1999 and 2008.

Military Medical Research·2019
Same author

Major Causes of Injury Death and the Life Expectancy Gap Between the United States and Other High-Income Countries.

JAMA·2016
Same author

Helicopter crashes into water: warning time, final position, and other factors affecting survival.

Aviation, space, and environmental medicine·2014
Same author

Hot-air balloon tours: crash epidemiology in the United States, 2000-2011.

Aviation, space, and environmental medicine·2013
Same author

How do public health practitioners in China perceive injury prevention? A survey.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention·2013
Same author

US commercial air tour crashes, 2000-2011: burden, fatal risk factors, and FIA Score validation.

Accident; analysis and prevention·2013
Same journal

Using extreme risk protection orders to prevent violence among people experiencing homelessness in California and Colorado: a case series.

Injury epidemiology·2026
Same journal

Rider dislodgement events in U.S. steeplechase racing: participation outcomes in riders and horses.

Injury epidemiology·2026
Same journal

The effect of hospital-based violence intervention programs on post-traumatic stress disorder symptoms among violent assault victims: a systematic review.

Injury epidemiology·2026
Same journal

Household firearm access, storage, perceptions, and discussions among U.S. military veterans: population-based estimates from the 2022 ASCEND survey.

Injury epidemiology·2026
Same journal

A descriptive analysis of the Fire service Organizational Culture of Safety (FOCUS) survey: FOCUS 3.0 survey wave.

Injury epidemiology·2026
Same journal

Views on democracy and political violence in the United States in 2025: findings from a nationally representative survey.

Injury epidemiology·2026
See all related articles

Related Experiment Video

Updated: Mar 13, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K

The stories behind the statistics.

Susan P Baker1

  • 1Johns Hopkins University Bloomberg School of Public Health, 624 N. Broadway, Baltimore, MD, 21205, USA. sbaker@jhsph.edu.

Injury Epidemiology
|October 18, 2016
PubMed
Summary
This summary is machine-generated.

Illustrating research with injury circumstances enhances reader engagement and identifies prevention strategies. Incorporating contextual details, beyond statistics, maximizes the impact of scientific findings.

Keywords:
CircumstancesInjury detailsInjury prevention

More Related Videos

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

14.1K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

Related Experiment Videos

Last Updated: Mar 13, 2026

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
08:05

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

8.2K
Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation
09:42

Using Continuous Data Tracking Technology to Study Exercise Adherence in Pulmonary Rehabilitation

Published on: November 8, 2013

14.1K
Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
10:58

Facilitating the Analysis of Immunological Data with Visual Analytic Techniques

Published on: January 2, 2011

10.6K

Area of Science:

  • Medical research methodology
  • Injury science
  • Public health communication

Background:

  • Research findings often lack descriptive context regarding injury circumstances.
  • This omission limits reader comprehension and the potential for actionable insights.
  • Current reporting methods may overemphasize quantitative data over qualitative narratives.

Discussion:

  • Integrating narrative descriptions of injury contexts can significantly improve research impact.
  • Contextual details aid in understanding the 'how' and 'why' of injuries, not just the 'what'.
  • Qualitative data enriches quantitative findings, providing a more holistic view.

Key Insights:

  • Descriptive circumstances bring research subjects to life for the audience.
  • Contextual information is crucial for identifying and implementing effective preventive measures.
  • Moving beyond raw data enhances the practical applicability of research outcomes.

Outlook:

  • Future research should prioritize the inclusion of detailed injury circumstances.
  • Developing standardized methods for collecting and presenting contextual injury data is recommended.
  • This approach can lead to more effective public health interventions and injury prevention campaigns.