Mixed-effect negative binomial regression models predicting the number of psychiatric beds within short-term acute care hospitals and psychiatric hospitals with interaction terms between time and policy indicators, 2011–2023 (95% CI in parentheses).

Table reports exponentiated coefficients. VIFs reported in <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1004682#pmed.1004682.s003" target="_blank">S2 Table</a>. Model 1: AIC – 177502.7; BIC – 177645.3. Model 2: AIC – 177503.5; BIC – 177646. Model 3: AIC – 66426.29; BIC – 66534.65. Model 4: AIC – 66426.66; BIC – 66535.02. (DOCX)

Publication Details

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Figshare
Published
2025-07-23
DOI
https://doi.org/10.1371/journal.pmed.1004682.s004
Primary Topic
Mycorrhizal Fungi and Plant Interactions
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Mixed-effect negative binomial regression models predicting the number of psychiatric beds within short-term acute care hospitals and psychiatric hospitals with interaction terms between time and policy indicators, 2011–2023 (95% CI in parentheses).

Figshare
Mycorrhizal Fungi and Plant Interactions
article

Mixed-effect negative binomial regression models predicting the number of psychiatric beds within short-term acute care hospitals and psychiatric hospitals with interaction terms between time and policy indicators, 2011–2023 (95% CI in parentheses).

article en

Abstract

Table reports exponentiated coefficients. VIFs reported in <a href="http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.1004682#pmed.1004682.s003" target="_blank">S2 Table</a>. Model 1: AIC – 177502.7; BIC – 177645.3. Model 2: AIC – 177503.5; BIC – 177646. Model 3: AIC – 66426.29; BIC – 66534.65. Model 4: AIC – 66426.66; BIC – 66535.02. (DOCX)

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Mycorrhizal Fungi and Plant Interactions
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Mixed-effect negative binomial regression models predicting the number of psychiatric beds within short-term acute care hospitals and psychiatric hospitals with interaction terms between time and policy indicators, 2011–2023 (95% CI in parentheses). · Figshare (2025) | TGRS Research Map | TGRS