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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.ME2024

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…

stat.ME2024

Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

Ao Huang, Yi Zhou, Satoshi Hattori

Network meta-analysis (NMA) is a useful tool to compare multiple interventions simultaneously in a single meta-analysis, it can be very helpful for medical decision making when the…

stat.ME2024

Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve

Yi Zhou, Ao Huang, Satoshi Hattori

The summary receiver operating characteristic (SROC) curve has been recommended as one important meta-analytical summary to represent the accuracy of a diagnostic test in the prese…

stat.ME2023

A simple sensitivity analysis method for unmeasured confounders via linear programming with estimating equation constraints

Chengyao Tang, Yi Zhou, Ao Huang +1

In estimating the average treatment effect in observational studies, the influence of confounders should be appropriately addressed. To this end, the propensity score is widely use…