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

Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

6.1K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
6.1K
Determination of Expected Frequency01:08

Determination of Expected Frequency

2.4K
Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
2.4K
Introduction to Test of Independence01:21

Introduction to Test of Independence

2.8K
In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
2.8K
Drug Concentration Versus Time Correlation01:15

Drug Concentration Versus Time Correlation

1.7K
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
1.7K
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

733
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:
733

You might also read

Related Articles

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

Sort by
Same author

A novel cluster-based multinomial logit modeling for crash severity analysis in collisions involving automated ev-only manufacturer (AEVOM) vehicles.

Scientific reports·2026
Same author

Modeling injury severity in embankment-related roadway departure crashes.

Scientific reports·2026
Same author

Behavioral and temporal dynamics of child pedestrian crash injury patterns: evidence from random parameter modeling.

Scientific reports·2026
Same author

Decoding pedestrian severity at crosswalks using hybrid clustering and random parameter models.

Scientific reports·2026
Same author

Temporal dynamics in barrier-involved crashes: Determining shifts in driving behavior and injury risk across multi-year periods.

Scientific reports·2026
Same author

Hybrid dimension reduction and logit models for glare-induced crash severity.

Scientific reports·2026

Related Experiment Video

Updated: Nov 25, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.9K

Pedestrians under influence (PUI) crashes: Patterns from correspondence regression analysis.

Subasish Das1, Sruthi Ashraf2, Anandi Dutta3

  • 1Texas A&M Transportation Institute, 1111 RELLIS Parkway, Bryan, TX 77807, United States.

Journal of Safety Research
|December 18, 2020
PubMed
Summary
This summary is machine-generated.

Pedestrian fatalities involving alcohol impairment are rising in Louisiana. Key risk factors include dark conditions, open country roads, and non-intersection locations, highlighting the need for targeted safety strategies.

Keywords:
Correspondence regressionCrash typingPattern recognitionPedestrian crashesPedestrian impairment

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.7K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.8K

Related Experiment Videos

Last Updated: Nov 25, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.9K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.7K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.8K

Area of Science:

  • Traffic Safety Research
  • Public Health
  • Epidemiology

Background:

  • Alcohol-related impairment is a significant factor in traffic crashes.
  • Pedestrian fatalities in Louisiana increased by 62% from 2010 to 2016.
  • Pedestrians under the influence (PUI) accounted for 34.4% of pedestrian fatalities in 2016, with a 120% increase in alcohol-PUI fatalities since 2010.

Purpose of the Study:

  • To analyze Louisiana's traffic crash data from 2010 to 2016.
  • To identify key contributing attributes associated with pedestrian under the influence (PUI) crashes.
  • To examine association patterns based on PUI involved injury levels.

Main Methods:

  • Correspondence regression analysis was applied to traffic crash data.
  • Data spanned from 2010 to 2016 in Louisiana.
  • Analysis focused on identifying risk clusters and critical attributes linked to PUI crashes.

Main Results:

  • Five risk clusters for PUI crashes were identified, including intersection, mid-block, segment, open country, and pedestrian violation related crashes.
  • Critical attributes associated with fatal and severe PUI crashes include dark/no lighting, open country roadways, and non-intersection locations.
  • Association maps revealed specific patterns linking environmental and behavioral factors to crash severity.

Conclusions:

  • The study identified significant risk factors contributing to pedestrian under the influence (PUI) crashes in Louisiana.
  • Dark conditions, open country roads, and non-intersection locations are strongly associated with severe PUI crashes.
  • Findings can inform the development of targeted mitigation strategies to reduce PUI-related traffic fatalities and injuries.