Evidence map›Paper›PMID 36213335›Full record

ArticleStochastic environmental research and risk assessment : research journal2022

Optimal designs for health risk assessments using fractional polynomial models.

Víctor Casero-Alonso, Jesús López-Fidalgo, Weng Kee Wong

Open access · greenAbstract read
In one paragraph

Article in Stochastic environmental research and risk assessment : research journal, 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
0.2field-weighted citation impact, top 51% of its field
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, 1 citations in OpenAlex.

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

3 authors at 3 institutions in 2 countries.

Víctor Casero-AlonsoDepartment of Mathematics, Castilla-La Mancha University, Spain.ORCID 0000-0001-8165-5858
Jesús López-FidalgoDATAI institute, Navarra University, Spain.ORCID 0000-0001-7502-8188
Weng Kee WongDepartment of Biostatistics, UCLA, USA.ORCID 0000-0001-5568-3054
Cancer Research And Biostatistics · USUniversidad de Navarra · ESUniversity of Castilla-La Mancha · ES

Funding

Designing Efficient Designs under Model Uncertainty for Biological StudiesR01GM107639 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, WENG K · 2014 to 2017
$1.0M
NIGMS NIH HHS R01 GM107639
6 · The paper itself

Abstract

Fractional polynomials (FP) have been shown to be more flexible than polynomial models for fitting data from an univariate regression model with a continuous outcome but design issues for FP models have lagged. We focus on FPs with a single variable and construct

Indexed as

Approximate designD-optimal designEquivalence theoremI-optimal designMathematica applet

Identifiers

PMID36213335
PMCPMC9536532
OpenAlexW4206028577

What OpenQuestion holds

Textmetadata
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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.