7 citations · 23 across the 7 of their papers we have counts for
7 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…
Testing for publication bias in meta-analysis under Copas selection model
Rui Duan, Jin Piao, Arielle Marks-Anglin +5
In meta-analyses, publication bias is a well-known, important and challenging issue because the validity of the results from a meta-analysis is threatened if the sample of studies…
Optimally estimating the sample standard deviation from the five-number summary
Jiandong Shi, Dehui Luo, Hong Weng +4
When reporting the results of clinical studies, some researchers may choose the five-number summary (including the sample median, the first and third quartiles, and the minimum and…
On equivalence of the LKJ distribution and the restricted Wishart distribution
Zhenxun Wang, Yunan Wu, Haitao Chu
In this paper, we want to show the Restricted Wishart distribution is equivalent to the LKJ distribution, which is one way to specify a uniform distribution from the space of posit…
Testing small study effects in multivariate meta-analysis
Chuan Hong, Georgia Salanti, Sally Morton +4
Small study effects occur when smaller studies show different, often larger, treatment effects than large ones, which may threaten the validity of systematic reviews and meta-analy…