13 citations · 24 across the 5 of their papers we have counts for
6 papers
A Bayesian Selection Model for Correcting Outcome Reporting Bias With Application to a Meta-analysis on Heart Failure Interventions
Ray Bai, Xiaokang Liu, Lifeng Lin +4
Multivariate meta-analysis (MMA) is a powerful tool for jointly estimating multiple outcomes' treatment effects. However, the validity of results from MMA is potentially compromise…
Odds Ratios are far from "portable": A call to use realistic models for effect variation in meta-analysis
Mengli Xiao, Haitao Chu, Stephen Cole +4
Objective: Recently Doi et al. argued that risk ratios should be replaced with odds ratios in clinical research. We disagreed, and empirically documented the lack of portability of…
On the global identifiability of logistic regression models with misclassified outcomes
Rui Duan, Yang Ning, Jiasheng Shi +3
In the last decade, the secondary use of large data from health systems, such as electronic health records, has demonstrated great promise in advancing biomedical discoveries and i…
A Robust Bayesian Copas Selection Model for Quantifying and Correcting Publication Bias
Ray Bai, Lifeng Lin, Mary R. Boland +1
The validity of conclusions from meta-analysis is potentially threatened by publication bias. Most existing procedures for correcting publication bias assume normality of the study…
A regression-based method for detecting publication bias in multivariate meta-analysis
Chuan Hong, Jing Zhang, Yang Li +3
Publication bias occurs when the publication of research results depends not only on the quality of the research but also on its nature and direction. The consequence is that publi…
Fixed-effects model: the most convincing model for meta-analysis with few studies
Enxuan Lin, Tiejun Tong, Yong Chen +1
According to Davey et al. (2011) with a total of 22,453 meta-analyses from the January 2008 Issue of the Cochrane Database of Systematic Reviews, the median number of studies inclu…