Response to "Methodological issues in the designing and reporting of frequentist and Bayesian meta-analysis to assess COVID-19 outcomes among PLHIV with various comorbidities" by Ram Bajpai, Vivek Verma and Gyan Prakash Singh.

Wang, Haoyi; Jonas, Kai J

Wang, Haoyi; Jonas, Kai J.

Wang H; Department of Work and Social Psychology, Maastricht University, Maastricht, The Netherlands.
Jonas KJ; Department of Work and Social Psychology, Maastricht University, Maastricht, The Netherlands.

J Int AIDS Soc ; 25(6): e25947, 2022 06.

Article in English | MEDLINE | ID: covidwho-1881424

Subject(s)

COVID-19; HIV Infections; Bayes Theorem; Comorbidity; HIV Infections/epidemiology; Humans

Keywords

COVID-19; HIV; Key and vulnerable populations; comorbidities; corona virus; meta-analysis

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Full text: Available Collection: International databases Database: MEDLINE Main subject: HIV Infections / COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Journal: J Int AIDS Soc Journal subject: SINDROME DA IMUNODEFICIENCIA ADQUIRIDA (AIDS) Year: 2022 Document Type: Article Affiliation country: Jia2.25947

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