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

Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

411
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
411
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

842
Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
842
The Intermediate Value Theorem01:25

The Intermediate Value Theorem

283
The Intermediate Value Theorem is a foundational result in calculus that guarantees the existence of solutions within certain intervals for continuous functions. Formally, the Intermediate Value Theorem states that if a function f is continuous on the closed interval [a, b], and if N is any value between f(a) and f(b), then there exists at least one c ∈ (a, b) such that f(c) = N. This theorem is instrumental in proving the existence of roots and in analyzing the behavior of continuous...
283
Disassembly of Intermediate Filaments01:35

Disassembly of Intermediate Filaments

2.7K
Intermediate filaments (IFs) do not undergo spontaneous disassembly. Enzymes, kinases, and phosphatases add and remove phosphates from specific sites to regulate their disassembly. The IF concentration in the cytoplasm also regulates the disassembly. If the concentration crosses a threshold, it activates the protein kinases in the vicinity, allowing the phosphorylation of IFs.
Keratin proteins, found at the cell periphery near cell junctions, undergo a cycle of assembly and disassembly. In Type...
2.7K
Types of Intermediate Filaments01:31

Types of Intermediate Filaments

4.9K
The intermediate filaments are an essential component of the cytoskeleton. Presently six types of intermediate filament have been identified. Type I and II are acidic and basic keratin proteins. Type III is of mesodermal origin and comprises four proteins: vimentin, desmin, glial fibrillary acidic protein (GFAP), and peripherin. Vimentin is commonly found in mesenchymal cells, desmin in muscle cells, GFAP in astrocytes, while peripherin is found in peripheral nervous system neurons (PNS). Type...
4.9K
Formation of Intermediate Filaments00:57

Formation of Intermediate Filaments

4.0K
Intermediate filaments are cytoskeletal proteins with higher tensile strength and flexibility than microfilaments and microtubules. Unlike the other two cytoskeletal proteins, intermediate filament formation lacks the enzymatic activity to hydrolyze nucleotides like ATP and GTP to generate energy for polymerization. Therefore, the formation of intermediate filaments is multistep self-assembly. The involvement of any accessory proteins in intermediate filament formation has not yet been...
4.0K

You might also read

Related Articles

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

Sort by
Same author

Integration of aggregate data in causally interpretable meta-analysis by inverse weighting.

Biometrics·2026
Same author

Comparing causal parameters with many treatments and positivity violations.

Biometrika·2026
Same author

Riesz Representers for the Rest of Us.

Epidemiology (Cambridge, Mass.)·2026
Same author

Restrictive abortion policy climate is associated with increased depression symptoms among women in the United States: Findings from a 25-year longitudinal study.

SSM. Mental health·2026
Same author

Causal effect estimates of online e-cigarette marketing exposure on future e-cigarette harm perception and use.

Drug and alcohol dependence reports·2026
Same author

Beneficial effects of the rapid vs. standard procedure for injection naltrexone initiation operate through increased adjunctive medication use.

Drug and alcohol dependence·2026
Same journal

A Causal Framework for Evaluating the Total Effect of Strategies Aiming to Expand Screening and to Improve Outcomes.

Statistics in medicine·2026
Same journal

Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance.

Statistics in medicine·2026
Same journal

Subgroup Analysis of Interval-censored Failure Time Data With Application to Alzheimer's Disease.

Statistics in medicine·2026
Same journal

Rejoinder to Commentaries on "A Perspective on the Appropriate Implementation of ICH E9(R1) Addendum Strategies for Handling Intercurrent Events".

Statistics in medicine·2026
Same journal

A Multi-Stage Drop-the-Loser Design With Superiority Boundaries.

Statistics in medicine·2026
Same journal

Interpretable ROI Identification in Brain Image Analysis: Overcoming CNN Black Box Challenges With Kriging-Enhanced Adaptive Sampling.

Statistics in medicine·2026
See all related articles
  1. Home
  2. Recanting Twins: Addressing Intermediate Confounding In Mediation Analysis.
  1. Home
  2. Recanting Twins: Addressing Intermediate Confounding In Mediation Analysis.

Related Experiment Video

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM
06:30

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Published on: March 2, 2017

10.6K

Recanting Twins: Addressing Intermediate Confounding in Mediation Analysis.

Tat-Thang Vo1, Nicholas Williams2, Richard Liu3

  • 1Research Group EPIDERME, Institute Mondor of Biomedical Research, INSERM U955, University Paris Est Créteil, Créteil, France.

Statistics in Medicine
|February 5, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Intermediate confounders challenge causal mediation analysis. This study introduces "recanting twin effects" as a robust alternative, enabling accurate path-specific effect estimation even with complex confounding. This advances causal inference methods.

Keywords:
intermediate confoundingmediation analysispath‐specific effectsrecanting witnesssemiparametric theory

More Related Videos

Twin-Screw Extrusion Process to Produce Renewable Fiberboards
07:21

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Published on: January 27, 2021

7.1K
Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model
10:32

Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model

Published on: September 6, 2014

12.7K

Related Experiment Videos

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM
06:30

Cell Lineage Analyses and Gene Function Studies Using Twin-spot MARCM

Published on: March 2, 2017

10.6K
Twin-Screw Extrusion Process to Produce Renewable Fiberboards
07:21

Twin-Screw Extrusion Process to Produce Renewable Fiberboards

Published on: January 27, 2021

7.1K
Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model
10:32

Cell Surface Marker Mediated Purification of iPS Cell Intermediates from a Reprogrammable Mouse Model

Published on: September 6, 2014

12.7K

Area of Science:

  • Causal Inference
  • Mediation Analysis
  • Epidemiology

Background:

  • Intermediate confounders, or "recanting witnesses," pose a significant challenge in mediation analysis, hindering the identification of natural path-specific effects.
  • Existing alternatives like randomizational interventional effects may yield misleading results, showing effects even without true mediation.

Purpose of the Study:

  • To formally develop "recanting twin effects" as a viable alternative to natural effects in mediation analysis under intermediate confounding.
  • To provide tools for testing intermediate confounding and interpreting new causal parameters.

Main Methods:

  • Proposed a falsification procedure to detect intermediate confounding.
  • Demonstrated the equivalence of recanting twin effects and natural effects in the absence of intermediate confounding.
  • Developed non-parametric efficiency theory, including efficiency bounds and efficient estimators for high-dimensional confounders using data-adaptive methods.
  • Main Results:

    • Recanting twin effects offer a robust framework for mediation analysis with intermediate confounding.
    • The study provides a method to test for intermediate confounding.
    • Developed efficient estimators applicable to high-dimensional data.

    Conclusions:

    • Recanting twin effects provide a theoretically sound and practically applicable alternative for mediation analysis when intermediate confounding is present.
    • The developed methods and estimators enhance the ability to investigate causal mechanisms in complex observational data.