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Tags · Evidence

heterogeneity

Variation in effect across studies or subgroups.

35 topics 12 solved Group: Evidence

Evidence 21 Research Methods 14

Related in this group: STEP programme · SURMOUNT programme · SURPASS programme · SELECT trial · FLOW trial · SOUL trial · TRIUMPH programme · PIONEER programme · SUSTAIN programme · LEADER trial · randomised trial · meta-analysis

35 topics · page 2 of 2

Topic	Participants	Replies	Views	Activity
Follow-up: Individual participant data versus aggregate data Evidence › Meta-analyses meta-analysis effect size publication bias heterogeneity Individual participant data versus aggregate data — setting out what I have, and where I think it stops being reliable. Comparing LEADER ( N Engl J Med , 2016) with SURPASS-4 ( Lancet , 2021) and finding the…	+101	111	23k	18mo
Second pass at: When a network meta-analysis is defensible and when it is not Evidence › Meta-analyses heterogeneity meta-analysis effect size publication bias Solved Pinned Posting this under the heading it deserves: Second pass at: When a network meta-analysis is defensible and when it is not Everything below is what sits behind that. Comparing STEP 8 ( JAMA , 2022) with LEADER…		2	2.8k	21mo
Coming back to: Prediction intervals and why they are more honest than confidence intervals Evidence › Meta-analyses publication bias heterogeneity effect size risk of bias Prediction intervals and why they are more honest than confidence intervals Writing it up because I had to work it out twice and would rather nobody else did. Comparing SURMOUNT-OSA ( N Engl J Med , 2024)…		2	65	22mo
Reading a meta-analysis you disagree with, fairly Evidence › Meta-analyses heterogeneity risk of bias effect size publication bias Posting this under the heading it deserves: Reading a meta-analysis you disagree with, fairly Everything below is what sits behind that. I have seen SURPASS-2 ( N Engl J Med , 2021) cited in support of a…	+7	13	2.5k	23mo
Correlation in a self-tracked dataset: what it can support Research Methods › Statistics effect size heterogeneity worked example number needed to treat Closed Correlation in a self-tracked dataset: what it can support — setting out what I have, and where I think it stops being reliable. I have seen STEP 4 ( JAMA , 2021) cited in support of a claim I do not think it…	+152	166	48k	23mo