Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement.

Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement.

Publication Details

Journal
Figshare
Published
2025-02-03
DOI
https://doi.org/10.1371/journal.pmed.1004523.s005
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00
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article

Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement.

Figshare
Meta-analysis and systematic reviews
article

Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement.

article en

Abstract

Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement.

Figshare
Openalex Percentile: Top 58%
Meta-analysis and systematic reviews
DOIOpen Access PDFOpenAlex
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Univariate random-effects meta-regression to explore sources of heterogeneity for the effects on GWG percent adequacy at the last weight measurement. · Figshare (2025) | TGRS Research Map | TGRS