36 citations · 101 across the 19 of their papers we have counts for
6 papers · 1 filter
A new paradox in random-effects meta-analysis
Jiandong Shi, Aimin Wu, Tiejun Tong
Meta-analysis is an important tool for combining results from multiple studies and has been widely used in evidence-based medicine for several decades. This paper reports, for the…
A statistical normalization method and differential expression analysis for RNA-seq data between different species
Yan Zhou, Jiadi Zhu, Tiejun Tong +3
Background: High-throughput techniques bring novel tools but also statistical challenges to genomic research. Identifying genes with differential expression between different speci…
Varying Coefficient Panel Data Model with Interactive Fixed Effects
Sanying Feng, Gaorong Li, Heng Peng +1
In this paper, we propose a varying coefficient panel data model with unobservable multiple interactive fixed effects that are correlated with the regressors. We approximate each c…
Testing normality using the summary statistics with application to meta-analysis
Dehui Luo, Xiang Wan, Jiming Liu +1
As the most important tool to provide high-level evidence-based medicine, researchers can statistically summarize and combine data from multiple studies by conducting meta-analysis…
TFisher Tests: Optimal and Adaptive Thresholding for Combining -Values
Hong Zhang, Tiejun Tong, John E Landers +1
For testing a group of hypotheses, tremendous -value combination methods have been developed and widely applied since 1930's. Some methods (e.g., the minimal -value) are opti…
How to estimate the sample mean and standard deviation from the five number summary?
Jiandong Shi, Dehui Luo, Hong Weng +3
In some clinical studies, researchers may report the five number summary (including the sample median, the first and third quartiles, and the minimum and maximum values) rather tha…