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stat.ME2025
Copas-Jackson-type bounds for publication bias over a general class of selection models
Taojun Hu, Yi Zhou, Xiao-Hua Zhou +1
Publication bias (PB) is one of the most vital threats to the accuracy of meta-analysis. Adjustment or sensitivity analysis based on selection models, which describe the probabilit…
stat.ME2025
Copas-Heckman-type sensitivity analysis for publication bias in rare-event meta-analysis under generalized linear mixed models
Yi Zhou, Taojun Hu, Yuji Sakamoto +3
In systematic reviews and meta-analyses, publication bias (PB) is one of the serious concerns and mainly induced by selective publication of academic literatures. Although many met…
stat.ME2024
Sensitivity analysis for publication bias in meta-analysis of sparse data based on exact likelihood
Taojun Hu, Yi Zhou, Satoshi Hattori
Meta-analysis is a powerful tool to synthesize findings from multiple studies. The normal-normal random-effects model is widely used to account for between-study heterogeneity. How…