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30 papers · 1 filter
FLAME: A Model for Duration-Dependent Risk Accumulation in Episodic Temporal Exposures
Xinkai Zhou, Lee Goeddel, Nauder Faraday +1
Emerging technologies enable continuous monitoring of temporal exposures to disease risk factors, leading to complex exposure processes characterized by subject-specific numbers an…
An alternative measure for quantifying the heterogeneity in meta-analysis
Ke Yang, Enxuan Lin, Wangli Xu +2
Quantifying the heterogeneity is an important issue in meta-analysis, and among the existing measures, the statistic is most commonly used. In this paper, we first illustrate…
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…
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…
Adaptive-to-model hybrid of tests for regressions
Lingzhu Li, Xuehu Zhu, Lixing Zhu
In model checking for regressions, nonparametric estimation-based tests usually have tractable limiting null distributions and are sensitive to oscillating alternative models, but…
Bayesian Weighted Mendelian Randomization for Causal Inference based on Summary Statistics
Jia Zhao, Jingsi Ming, Xianghong Hu +3
The results from Genome-Wide Association Studies (GWAS) on thousands of phenotypes provide an unprecedented opportunity to infer the causal effect of one phenotype (exposure) on an…