36 citations · 101 across the 19 of their papers we have counts for
16 papers · 1 filter
IQ: Intrinsic measure for quantifying the heterogeneity in meta-analysis
Ke Yang, Enxuan Lin, Tiejun Tong
Quantifying the heterogeneity is an important issue in meta-analysis, and among the existing measures, the statistic is the most commonly used measure in the literature. In t…
Detecting the skewness of data from the five-number summary and its application in meta-analysis
Jiandong Shi, Dehui Luo, Xiang Wan +4
For clinical studies with continuous outcomes, when the data are potentially skewed, researchers may choose to report the whole or part of the five-number summary (the sample media…
Estimating the reciprocal of a binomial proportion
Jiajin Wei, Ping He, Tiejun Tong
As a classic parameter from the binomial distribution, the binomial proportion has been well studied in the literature owing to its wide range of applications. In contrast, the rec…
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…
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…
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…
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…
Diagonal Likelihood Ratio Test for Equality of Mean Vectors in High-Dimensional Data
Zongliang Hu, Tiejun Tong, Marc G. Genton
We propose a likelihood ratio test framework for testing normal mean vectors in high-dimensional data under two common scenarios: the one-sample test and the two-sample test with e…
SIMEX estimation for single-index model with covariate measurement error
Yiping Yang, Tiejun Tong, Gaorong Li
In this paper, we consider the single-index measurement error model with mismeasured covariates in the nonparametric part. To solve the problem, we develop a simulation-extrapolati…
Optimally estimating the sample mean from the sample size, median, mid-range and/or mid-quartile range
Dehui Luo, Xiang Wan, Jiming Liu +1
The era of big data is coming, and evidence-based medicine is attracting increasing attention to improve decision making in medical practice via integrating evidence from well desi…
Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range
Xiang Wan, Wenqian Wang, Jiming Liu +1
In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials,…
Non-parametric shrinkage mean estimation for quadratic loss functions with unknown covariance matrices
Cheng Wang, Tiejun Tong, Longbing Cao +1
In this paper, a shrinkage estimator for the population mean is proposed under known quadratic loss functions with unknown covariance matrices. The new estimator is non-parametric…