[R-meta] Meta-analysis with observational and experimental studies
Dear Karen I will leave it to others to coment on model choice but one thing which occurs to me is that if you just use one arm in a trial does that not convert it into an observational study? Michael
On 05/11/2023 10:15, PARRA DE LA ROSA, KAREN via R-sig-meta-analysis wrote:
Hi everyone, I am conducting a systematic review and meta-analysis on the impact of different types of appearance-focused social media activities on body image. I wanted to test a novel categorization of these types of social media activities so we can better understand if the shared characteristics of different activities could explain their effect/relationship with body image. On the other hand, I am also interested in having an estimate per activity. The dataset has 130 studies, half observational (cross-sectional, longitudinal, experience sampling), and half experimental studies. The vast majority of them contribute more than one effect size because of different activities and multiple outcomes. This is my first meta-analysis and also my first time using R so I have many questions regarding how to specify the model. I have read that observational and experimental research cannot be synthesized in the same meta-analysis as they are answering different questions. So I was running two different analyses for each type of study. As for observational studies I fitted with metafor and clubsandwich a correlated and hierarchical model with robust variance estimation to account for the multiple dependencies among effect sizes. So effect sizes are nested within studies. However, the problem I am facing is with experimental studies. I have organized them in a different file with the mean, sd, and n per treatment condition. I am not interested in the comparison with control groups, rather I am interested in understanding if, for instance, exposure to body ideals is better/worse than posting this type of content. I have several comparisons like the one in the example. I thought that a network meta-analysis in netmeta could be the best solution but as far as I know, this package does not allow for moderator analysis, so could not be able to run a subgroup analysis with the categories of activities. I do not know what the best approach to analyze this data. Also, I have never seen in my field a paper with two different types of meta-analysis: a three-level for observational and an NMA for experimental. Hope someone on the mailing list could help me with some of this doubt. Thanks in advance for your help and guidance. Best, Karen
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Michael