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

Mediation analysis via potential outcomes models.

Jeffrey M Albert1

  • 1Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44120, U.S.A. jma13@case.edu

Statistics in Medicine
|August 11, 2007
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

Developmental Disorders in Children Recently Diagnosed With Cancer.

Pediatric blood & cancer·2026
Same author

Association of Medicaid expansion with colon cancer care: treatment patterns and survival in non-metastatic cases from state registry-claims data.

Cancer causes & control : CCC·2025
Same author

Maternal Childhood Trauma and Children's Developmental Course of Aggressive Behavior from Ages 4 to 12.

Psychology of violence·2025
Same author

A Rising Tide Raises All Ships: Was the Effect of Medicaid Expansion on Cancer Outcomes Similar Across Subgroups of Patients With Cancer on Medicaid?

AJPM focus·2025
Same author

Validity and reliability of Brier scoring for assessment of probabilistic diagnostic reasoning.

Diagnosis (Berlin, Germany)·2024
Same author

Multilevel Interventions and Dental Attendance in Pediatric Primary Care: A Cluster Randomized Clinical Trial.

JAMA network open·2024
Same journal

Optimal Weighted Tests for Replication Studies and the 'Two-Trials Rule' With Multiple Hypotheses.

Statistics in medicine·2026
Same journal

Identifiable Copula-Double-Cox Models: A Fully Parametric Framework for Dependent Right-Censored Survival Data.

Statistics in medicine·2026
Same journal

Moving From Individualized Risk-Based Prevention to Benefit-Based Prevention: Estimating Individualized Life-Years Gained From Prevention Services as a Basis for Eligibility.

Statistics in medicine·2026
Same journal

A Mixture of Distributed Lag Non-Linear Models to Account for Spatially Heterogeneous Exposure-Lag-Response Associations.

Statistics in medicine·2026
Same journal

Practical Considerations for Gaussian Process Modeling for Causal Inference in Quasi-Experimental Studies With Panel Data.

Statistics in medicine·2026
Same journal

Covariate Adjustment for Wilcoxon Two Sample Statistic and Test.

Statistics in medicine·2026
See all related articles

This study introduces a new causal framework for mediation analysis using potential outcomes, offering novel definitions and measures. The approach enhances understanding of nursing interventions for pain by modeling mediator interactions.

Area of Science:

  • Causal Inference
  • Biostatistics
  • Health Services Research

Background:

  • Mediation analysis is crucial for understanding intervention effects.
  • Existing methods may not fully capture complex mediator relationships.
  • The potential outcomes framework offers a robust theoretical basis.

Purpose of the Study:

  • To develop a causal or manipulation model framework for mediation analysis.
  • To introduce new definitions and measures of mediation.
  • To apply the framework to real-world data, including complex scenarios.

Main Methods:

  • Utilized the potential outcomes framework for mediation.
  • Employed linear structural models and structural equation models (SEMs).
  • Applied two-stage least-squares estimation and the delta method for inference.

Related Experiment Videos

Main Results:

  • Developed novel definitions and measures of mediation.
  • Successfully applied the framework to nursing intervention data for postoperative pain.
  • Addressed scenarios with multiple treatment groups and mediator interactions.

Conclusions:

  • The potential outcomes framework provides a powerful approach to mediation analysis.
  • The developed methods offer enhanced interpretability for complex mediation.
  • This framework is valuable for studying intervention effects in healthcare settings.