Subgroup analysis: Who benefits most from a treatment?
Subgroup analysis: Who benefits most from a treatment?
Clinical trial results usually tell us how effective a treatment was on average for the overall group of participants, but a key question for clinicians, patients and policy makers is: which individual patients benefit most from the treatment and which don’t benefit as much?
In the latest episode of the Trial Talk podcast, Peter Godolphin and David Fisher discuss a new method for determining how treatment effects differ between subgroups of patients across multiple clinical trials, as well as how other meta-analysis researchers can use it.
Resources:
• Estimating interactions and subgroup-specific treatment effects in meta-analysis without aggregation bias: A within-trial framework
onlinelibrary.wiley.com/doi/10.1002/jrsm.1590
• Cochrane webinar recording
training.cochrane.org/resource/estim…-meta-analysis
• GitHub page for metafloat package in Stata
github.com/UCL/metafloat
• WHO REACT Group: IL6 Prospective meta-analysis
jamanetwork.com/journals/jama/fullarticle/2781880
• STOPCAP c
Charlotte Hartley | |
2 | |
3/11/2024 | |
00:28:44 | |
clinical trials, meta-analysis, Methodology, metaanalysis, meta analysis, Statistics, statistics and research methods, medical statistics | |
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