Selected article for: "effect size and statistical analysis"

Author: Mohammad Parohan; Sajad Yaghoubi; Asal Seraj; Mohammad Hassan Javanbakht; Payam Sarraf; Mahmoud Djalali
Title: Risk factors for mortality of adult inpatients with Coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis of retrospective studies
  • Document date: 2020_4_11
  • ID: ih37onc3_10
    Snippet: Statistical analysis 104 We used HRs, ORs, and RRs (and their 95% confidence intervals) reported for the association 105 between risk factors and mortality from COVID-19 infection, to calculate log RRs and their 106 standard errors (SEs). Then, the overall effect size for mortality in relation to risk factors was 107 calculated using random-effects model. For examining the between-study heterogeneity, we 108 . CC-BY 4.0 International license It i.....
    Document: Statistical analysis 104 We used HRs, ORs, and RRs (and their 95% confidence intervals) reported for the association 105 between risk factors and mortality from COVID-19 infection, to calculate log RRs and their 106 standard errors (SEs). Then, the overall effect size for mortality in relation to risk factors was 107 calculated using random-effects model. For examining the between-study heterogeneity, we 108 . CC-BY 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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