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 Experiment Videos

Truncated recurrent event survival models for methadone data

A Salter1, P J Solomon

  • 1Department of Statistics, University of Adelaide, Australia.

Biometrics
|January 10, 1998
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Octopamine alters yellow mealworm body composition.

Animal : an international journal of animal bioscience·2025
Same author

Associations between fatigue impact and physical and neurobehavioural factors: An exploration in people with progressive multiple sclerosis.

Multiple sclerosis and related disorders·2024
Same author

Comparison of effect of CTG + STan with CTG alone on emergency Cesarean section rate: STan Australian Randomized controlled Trial (START).

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2023
Same author

Profiling cognitive-motor interference in a large sample of persons with progressive multiple sclerosis and impaired processing speed: results from the CogEx study.

Journal of neurology·2023
Same author

Data harmonization for collaborative research among MS registries: A case study in employment.

Multiple sclerosis (Houndmills, Basingstoke, England)·2020
Same author

Comparing the effect of STan (cardiotocographic electronic fetal monitoring (CTG) plus analysis of the ST segment of the fetal electrocardiogram) with CTG alone on emergency caesarean section rates: study protocol for the STan Australian Randomised controlled Trial (START).

Trials·2019

This study introduces truncated survival models to analyze methadone program retention for injecting drug users. A marginal approach simplifies modeling recurrent events, improving understanding of patient engagement.

Area of Science:

  • Biostatistics
  • Public Health
  • Addiction Medicine

Background:

  • Injecting drug use is a complex public health issue often involving intermittent engagement with treatment programs.
  • Understanding patient retention in methadone programs is crucial for effective addiction treatment and harm reduction.
  • Recurrent events, such as multiple entries and exits, are common in the treatment journeys of injecting drug users.

Purpose of the Study:

  • To propose and evaluate truncated multivariate survival models for analyzing South Australian Methadone Program data.
  • To investigate the utility of a marginal approach for modeling recurrent events in this population.
  • To provide a simplified statistical framework for assessing retention of injecting drug users in methadone treatment.

Main Methods:

Related Experiment Videos

  • Application of truncated multivariate survival models to analyze patient data.
  • Utilizing a marginal approach to model recurrent events, accounting for multiple program entries and exits.
  • Statistical analysis performed using S-PLUS, presenting likelihoods and fitting results for two model forms.

Main Results:

  • The marginal approach offers a simplified and useful basis for modeling injecting drug user retention on methadone.
  • The study presents the likelihoods and outcomes of fitting two distinct truncated survival models.
  • The analysis provides insights into the patterns of engagement and disengagement with the methadone program.

Conclusions:

  • Truncated survival models, particularly using a marginal approach, are effective for analyzing complex retention data in methadone programs.
  • The findings support the use of these statistical methods for better understanding and managing patient journeys in addiction treatment.
  • Recommendations are provided for statistical analysis, facilitating future research and program evaluation.