Evidence map›Paper›PMID 27528825›Full record

ArticleStatistical modelling2016

Using a latent variable model with non-constant factor loadings to examine PM

Zhenzhen Zhang, Marie S O'Neill, Brisa N Sánchez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistical modelling, 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

3 authors.

Zhenzhen ZhangDepartment of Biostatistics, University of Michigan, Ann Arbor, USA.
Marie S O'NeillDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, USA; Department of Epidemiology, University of Michigan, Ann Arbor, USA.
Brisa N SánchezDepartment of Biostatistics, University of Michigan, Ann Arbor, USA.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AMY J SCHULZ · 2011 to 2026
$21.3M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, PETERSON, KAREN EILEEN · 2013 to 2018
$3.9M
Air Pollution, Inflammation and Preterm Birth: A Mechanistic Study in Mexico CityR01ES016932 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI O'NEILL, MARIE SYLVIA · 2008 to 2015
$2.2M
Polycyclic aromatic hydrocarbons and birth outcomes in Mexico CityR01ES017022 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI O'NEILL, MARIE SYLVIA · 2009 to 2013
$1.3M
Project 1: Prenatal Lead Exposure, Early Childhood Growth, and Sexual MaturationP20ES018171 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, KAREN EILEEN · 2010 to 2012
$584k
NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P20 ES018171NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES016932NIEHS NIH HHS R01 ES017022
6 · The paper itself

Abstract

Factor analysis is a commonly used method of modelling correlated multivariate exposure data. Typically, the measurement model is assumed to have constant factor loadings. However, from our preliminary analyses of the Environmental Protection Agency's (EPA's) PM

Indexed as

EM algorithmfactor modelgeneralized cross-validationnon-constant factor loadingPM2.5 constituentsP-splinetensor product spline basis

Identifiers

PMID27528825
PMCPMC4982519

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.