Selected article for: "confidence interval and interval estimate"

Author: Ignacio Ricci Cabello; Jose F Meneses Echavez; Maria Jesus Serrano-Ripoll; David Fraile-Navarro; Maria Antonia Fiol de Roque; Guadalupe Pastor Moreno; Adoracion Castro; Isabel Ruiz Perez; Rocio Zamanillo Campos; Daniela Goncalves-Bradley
Title: Impact of viral epidemic outbreaks on mental health of healthcare workers: a rapid systematic review
  • Document date: 2020_4_6
  • ID: 0vecbxny_20
    Snippet: For studies about the impact of outbreaks on mental health, we conducted random-effects meta-analyses to estimate the prevalence and 95% confidence interval (CI) of each type of mental health condition, using the STATA command "metaprop". We conducted subgroup analyses to explore potential differences in the prevalence of mental health disorders during vs. after the outbreak. Heterogeneity was quantified by the I 2 statistic, where I 2 >50% was d.....
    Document: For studies about the impact of outbreaks on mental health, we conducted random-effects meta-analyses to estimate the prevalence and 95% confidence interval (CI) of each type of mental health condition, using the STATA command "metaprop". We conducted subgroup analyses to explore potential differences in the prevalence of mental health disorders during vs. after the outbreak. Heterogeneity was quantified by the I 2 statistic, where I 2 >50% was deemed as substantial heterogeneity. 19 Publication bias was examined with funnel plots and presence of asymmetry tested with Begg 20 and Egger tests. 21 We used Stata, version 12.0 to conduct meta-analyses.

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