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stat.ME2025
Random-effects meta-analysis via generalized linear mixed models: A Bartlett-corrected approach for few studies
Keisuke Hanada, Tomoyuki Sugimoto
Random-effects models are central to meta-analysis, yet the between-study variance is often underestimated when the number of studies is small. In such settings, confidence interva…
stat.ME2025
Integrate Meta-analysis into Specific Study (InMASS) for Estimating Conditional Average Treatment Effect
Keisuke Hanada, Masahiro Kojima
Randomized controlled trials are the standard method for estimating causal effects, ensuring sufficient statistical power and confidence through adequate sample sizes. However, ach…