Causal Quartets: Different Ways to Attain the Same Average Treatment Effect

Gelman, Andrew; Hullman, Jessica; Kennedy, Lauren

doi:10.1080/00031305.2023.2267597

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2024

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Cited by 4 publications

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“…With this extra criterion, now the replication success is only about 53%. And in many situations the success rate would drop even further, when the population of effect sizes is heterogeneous, which could lead to large differences across testing sites (Mathur & VanderWeele, 2020;Gelman et al, 2023).…”

Section: Comments On the Open Science Collaboration Articlementioning

confidence: 99%

More Reasons Why Replication Is A Difficult Issue

Wilcox,

Rousselet

2024

Preprint

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Many issues complicate efforts to replicate studies, including concerns about models. Hundreds of papers published over the last sixty years make it clear that the models underlying the conventional statistical methods that are routinely taught and used can lead to low power, inflated false positive rates and inaccurate confidence intervals. In this chapter, we summarize these issues and how they affect replication assessment. We conclude that instead of trying to replicate poorly characterized effects, our efforts would be better spent on developing and discussing more detailed models.

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Section: Comments On the Open Science Collaboration Articlementioning

confidence: 99%