most citedFixed-effects model: the most convincing model for meta-analysis with few studies

13 citations · 18 across the 4 of their papers we have counts for

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stat.ME2020

A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors

Zongliang Hu, Tiejun Tong, Marc G. Genton

For high-dimensional small sample size data, Hotelling's T2 test is not applicable for testing mean vectors due to the singularity problem in the sample covariance matrix. To overc…

stat.ME2020

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…

stat.ME202013 cited

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…

stat.ME2018

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…

stat.ME2018

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…

stat.ME20183 cited

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…