Selected article for: "analysis stata and high heterogeneity"

Author: Sina Arabi; Golnaz Vaseghi; Zahra Heidari; Laleh Shariati; Bahareh Amin; Harunor Rashid; Shaghayegh Haghjooy Javanmard
Title: Clinical characteristics of COVID-19 infection in pregnant women: a systematic review and meta-analysis
  • Document date: 2020_4_7
  • ID: jdniglgz_6
    Snippet: The meta-analysis was performed using "metan" and "metaprop" programs in STATA version 11 (STATA, College Station, TX, USA) based on clinical characteristics of COVID-19 infection as input. The meta-analysis resulted in pooled (overall) mean and prevalence of characteristics with a 95% confidence interval (95% CI). Heterogeneity of the included studies was assessed using the Cochran Q test and Higgins' I 2 statistic and expressed as percentage. V.....
    Document: The meta-analysis was performed using "metan" and "metaprop" programs in STATA version 11 (STATA, College Station, TX, USA) based on clinical characteristics of COVID-19 infection as input. The meta-analysis resulted in pooled (overall) mean and prevalence of characteristics with a 95% confidence interval (95% CI). Heterogeneity of the included studies was assessed using the Cochran Q test and Higgins' I 2 statistic and expressed as percentage. Values of 25%, 50%, and 75% for I2 were considered as low, medium, and high levels of heterogeneity, respectively. Data were pooled using fixed or random effects model as appropriate. Publication bias was tested using Begg and Egger's tests.

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