*FINAL DAY* Today we featured the top 3 most cited articles published in @RSeriesa in 2020
We’ll do this in separate threads in reverse order & we start here with the 3rd place
🧵starting👇🏽
1/n
We’ll do this in separate threads in reverse order & we start here with the 3rd place
🧵starting👇🏽
1/n
3rd most cited paper by Phillippo et al doi.org/10.1111/rssa.1…
*CONTEXT* Standard network meta‐analysis & indirect comparisons combine aggregate data from multiple studies, assuming that any effect modifiers are balanced across pops. & often incurring in aggregation bias
2/n
*CONTEXT* Standard network meta‐analysis & indirect comparisons combine aggregate data from multiple studies, assuming that any effect modifiers are balanced across pops. & often incurring in aggregation bias
2/n
*AIM* Propose a new method extending the standard network meta‐analysis framework
*METHOD* Use of general numerical approach using quasi‐Monte‐Carlo integration
3/n
*METHOD* Use of general numerical approach using quasi‐Monte‐Carlo integration
3/n
*FINDINGS* Uncertainty is substantially reduced by explaining within‐ & between‐study variation, and estimates are more interpretable
4/n
4/n
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