Evidence map›Paper›PMID 27182090›Full record

ArticleJournal of the Royal Statistical Society. Series C, Applied statistics2016

Estimating controlled direct effects of restrictivefeeding practices in the 'Early dieting in girls' study.

Yeying Zhu, Debashis Ghosh, Donna L Coffman, Jennifer S Savage

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the Royal Statistical Society. Series C, Applied statistics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yeying ZhuDepartment of Statistics and Actuarial Science, University of Waterloo, Waterloo, Canada.
Debashis GhoshDepartment of Biostatistics and Informatics, Colorado School of Public Health, Aurora, USA.
Donna L CoffmanThe Methodology Center, Pennsylvania State University, University Park, USA.
Jennifer S SavageThe Center for Childhood Obesity Research, Pennsylvania State University, University Park, USA.

Funding

THE REFINEMENT &APPLICATION OF MEDICAL DECISION MAKING IN PREVENTION SCIENCESP50DA010075 · NIDA · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI LANZA, STEPHANIE T · 1996 to 2014
$24.5M
EARLY DIETING IN GIRLSR01HD032973 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BIRCH, LEANN L. · 1996 to 2005
$3.2M
Marginal Causal Models for Observational Studies in Obesity ResearchR21DK082858 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI COFFMAN, DONNA · 2009 to 2010
$321k
NICHD NIH HHS R01 HD032973NIDA NIH HHS P50 DA010075NIDDK NIH HHS R21 DK082858
6 · The paper itself

Abstract

In this article, we examine the causal effect of parental restrictive feeding practices on children's weight status. An important mediator is children's self-regulation status. Recent approaches interpret mediation effects based on the potential outcomes framework. Inverse probability weighting based on propensity scores are used to adjust for confounding and reduce the dimensionality of confounders simultaneously. We show that combining machine learning algorithms and logistic regression to estimate the propensity scores can be more accurate and efficient in estimating the controlled direct effects than using logistic regression alone. A data application shows that the causal effect of mother's restrictive feeding differs according to whether the daughter eats in the absence of hunger.

Indexed as

Causal inferenceControlled direct effectsGeneralized boosted modelMediatorModel combiningRandom forests

Identifiers

PMID27182090
PMCPMC4861953

What OpenQuestion holds

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Registered trials

None linked

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.