Large-Scale Hypothesis Testing for Causal Mediation Effects with Applications in Genome-wide Epigenetic Studies
DOI10.1080/01621459.2021.1914634zbMath1506.62445OpenAlexW3152499279MaRDI QIDQ5881063
Unnamed Author, Joel Schwartz, Xihong Lin, Zhong-Hua Liu, Andrea Baccarelli, Jincheng Shen
Publication date: 9 March 2023
Published in: Journal of the American Statistical Association (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/01621459.2021.1914634
hypothesis testingindirect effectscausal mediation analysiscomposite nulldivide-aggregate composite-null testgenome-wide epigenetic studiesmediation effectsproportions of true nulls
Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15) Paired and multiple comparisons; multiple testing (62J15)
Related Items (5)
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Cites Work
- Adjusting batch effects in microarray expression data using empirical Bayes methods
- An unexpected encounter with Cauchy and Lévy
- Conceptual issues concerning mediation, interventions and composition
- Identification, inference and sensitivity analysis for causal mediation effects
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- Correlated z-Values and the Accuracy of Large-Scale Statistical Estimates
- Estimating the Null and the Proportion of Nonnull Effects in Large-Scale Multiple Comparisons
- Large-Scale Simultaneous Hypothesis Testing
- All of Nonparametric Statistics
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