Evidence map›Paper›PMID 36330150›Full record

ArticleJournal of business & economic statistics : a publication of the American Statistical Association2022

Varying Coefficient Mediation Model and Application to Analysis of Behavioral Economics Data.

Yujie Liao, Jingyuan Liu, Donna L Coffman, Runze Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of business & economic statistics : a publication of the American Statistical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yujie LiaoDepartment of Statistics, Pennsylvania State University, University Park, PA.
Jingyuan LiuMOE Key Laboratory of Econometrics, Department of Statistics and Data Science, School of Economics, Wang Yanan Institute for Studies in Economics, Xiamen University, Xiamen, China.
Donna L CoffmanDepartment of Epidemiology and Biostatistics, Temple University, Philadelphia, PA.
Runze LiDepartment of Statistics, Pennsylvania State University, University Park, PA.

Funding

Developing Methodology to examine causal mediation of Time-Varying Effects in Smoking Cessation TreatmentsR01CA229542 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COFFMAN, DONNA LYNN · 2018 to 2021
$1.3M
NCI NIH HHS R01 CA229542
6 · The paper itself

Abstract

This article is concerned with causal mediation analysis with varying indirect and direct effects. We propose a varying coefficient mediation model, which can also be viewed as an extension of moderation analysis on a causal diagram. We develop a new estimation procedure for the direct and indirect effects based on B-splines. Under mild conditions, rates of convergence and asymptotic distributions of the resulting estimates are established. We further propose a

Indexed as

B-splinesIndirect effectMediation analysisVarying coefficient models

Identifiers

PMID36330150
PMCPMC9624463

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.