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

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

Publication Details

Journal
Figshare
Published
2025-03-17
DOI
https://doi.org/10.1371/journal.pone.0319754.s001
Primary Topic
Statistical Methods and Applications
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 Afghanistan and Bangladesh.

Figshare
Statistical Methods and Applications
article

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

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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 Afghanistan and Bangladesh.

Figshare
Openalex Percentile: Top 62%
Statistical Methods and Applications
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 Afghanistan and Bangladesh. · Figshare (2025) | TGRS Research Map | TGRS