GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan.

GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan.

Publication Details

Journal
Figshare
Published
2025-03-17
DOI
https://doi.org/10.1371/journal.pone.0319754.s002
Primary Topic
Mycorrhizal Fungi and Plant Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan.

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Mycorrhizal Fungi and Plant Interactions
article

GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan.

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Abstract

GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan.

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Openalex Percentile: Top 45%
Mycorrhizal Fungi and Plant Interactions
DOISourceOpenAlex
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GVIF for binary logistic regression model adjusted for demographic, socio-economic, and geographic factors with WASH facilities as outcome in Nepal and Pakistan. · Figshare (2025) | TGRS Research Map | TGRS