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

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a survival tree begins...
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...
Survey Safety01:28

Survey Safety

Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

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...
Relative Risk01:12

Relative Risk

Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...

You might also read

Related Articles

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

Sort by
Same author

Erucic acid protected against dopamine neuron degeneration by attenuating oxidative stress and neuroinflammation via PI3K/AKT signaling in Parkinson's disease.

Journal of neuroimmunology·2026
Same author

Development and validation of a novel multimodal deep neural network model based on CBC digit parameters and scattergrams for rapid hematolymphoid malignancy classification: a multicenter cohort study.

BMC medicine·2026
Same author

A bioactive lysate of Corynebacterium glutamicum orchestrates intestinal barrier repair mainly through L-arginine-mediated FOXO pathway.

Food research international (Ottawa, Ont.)·2026
Same author

Design of M13 phage systems dual-displaying two functional proteins for developing a rapid biosensing probe.

Journal of nanobiotechnology·2026
Same author

Gut-Derived Lipid Mediators Orchestrate Ovarian Metabolic Homeostasis and Clutch Persistence in Aging Laying Hens via the PLA2G6-ALOX15B-AGPAT3 Axis.

Biomolecules·2026
Same author

Research advances in the identification of gut keystone bacteria and formulation of suitable dietary intervention strategies for restoring gut homeostasis.

NPJ biofilms and microbiomes·2026

Related Experiment Video

Updated: May 19, 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

Tree-based logistic regression approach for work zone casualty risk assessment.

Jinxian Weng1, Qiang Meng, David Z W Wang

  • 1Department of Civil and Environmental Engineering, National University of Singapore, Singapore.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|August 23, 2012
PubMed
Summary

This study introduces a novel tree-based logistic regression model to predict work zone casualty risk. The enhanced method improves prediction accuracy by analyzing marginal effects and avoiding variable interactions.

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Related Experiment Videos

Last Updated: May 19, 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

Establishing a Competing Risk Regression Nomogram Model for Survival Data
04:57

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Area of Science:

  • Traffic Safety
  • Transportation Engineering
  • Statistical Modeling

Background:

  • Work zone crashes pose a significant risk to vehicle occupants.
  • Accurate prediction of casualty risk is crucial for implementing effective safety measures.
  • Existing statistical models may not fully capture complex interactions influencing crash outcomes.

Purpose of the Study:

  • To develop and evaluate a novel tree-based logistic regression approach for assessing work zone casualty risk.
  • To identify key interacting factors contributing to vehicle occupant injuries or fatalities in highway work zones.
  • To improve the prediction accuracy of casualty risk compared to traditional methods.

Main Methods:

  • Utilized a decision tree approach to identify interacting factors and determine tree structure.
  • Applied logistic regression analysis separately to data subsets defined by the decision tree.
  • Analyzed Michigan highway work zone crash data (M-94\I-94\I-94BL\I-94BR) to build the model.

Main Results:

  • An optimal decision tree with four leaf nodes was identified.
  • Key interacting factors influencing casualty risk were determined to be airbag, occupant identity, and gender.
  • The proposed tree-based logistic regression model demonstrated superior prediction accuracy over pure decision tree and logistic regression methods.

Conclusions:

  • The tree-based logistic regression approach effectively assesses work zone casualty risk by examining marginal effects.
  • This method significantly enhances prediction accuracy by managing variable interaction effects.
  • The findings provide valuable insights for improving traffic safety in highway work zones.