ArticleJournal of the American Statistical Association2022
Estimating and accounting for unobserved covariates in high-dimensional correlated data.
Article in Journal of the American Statistical Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed.
- Vitamin C supplementation to pregnant smokers alters asthma- and allergy-associated CpGs in child buccal DNA at 5 years of age.Clinical epigenetics · 2025Trial
- Improvements in lung function following vitamin C supplementation to pregnant smokers are associated with buccal DNA methylation at 5 years of age.Clinical epigenetics · 2024Trial
- Epigenetic landscape links upper airway microbiota in infancy with allergic rhinitis at 6 years of age.The Journal of allergy and clinical immunology · 2020Trial
- Immune pathways and prenatal/perinatal environmental exposures contribute to epigenetic gestational age prediction and acceleration.Epigenetics · 2026Article
- Quantifying Direct and Indirect Effects through Joint Modeling of Terminal Events and Gap Times between Recurrent Events.Journal of data science : JDS · 2026Article
- Deconvolution of DNA methylation data reveals cell type-specific epigenomic signatures in endometriosis and eutopic endometrium.Molecular human reproduction · 2026Article
- Longitudinal omics data analysis: approaches and applications.Computational and structural biotechnology journal · 2026Review
- Article
- Simultaneous inference for generalized linear models with unmeasured confounders.Journal of the American Statistical Association · 2025Article
- Differences in the DNA methylome of T cells in adults with asthma of varying severity.Clinical epigenetics · 2024Article
- Differences in the DNA Methylome of T cells in Adults With Asthma of Varying Severity.Research square · 2024Article
- Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations.Nature communications · 2024Article
- Exploring causal mechanisms and quantifying direct and indirect effects using a joint modeling approach for recurrent and terminal events.Statistics in medicine · 2023Article
- UNIFYING AND GENERALIZING METHODS FOR REMOVING UNWANTED VARIATION BASED ON NEGATIVE CONTROLS.Statistica Sinica · 2021Article
- Longitudinal data reveal strong genetic and weak non-genetic components of ethnicity-dependent blood DNA methylation levels.Epigenetics · 2021Article
- ESTIMATION AND INFERENCE IN METABOLOMICS WITH NON-RANDOM MISSING DATA AND LATENT FACTORS.The annals of applied statistics · 2020Article
- Data-based RNA-seq simulations by binomial thinning.BMC bioinformatics · 2020Article
- A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing.Computational and structural biotechnology journal · 2020Article
- Accounting for unobserved covariates with varying degrees of estimability in high-dimensional biological data.Biometrika · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Many high dimensional and high-throughput biological datasets have complex sample correlation structures, which include longitudinal and multiple tissue data, as well as data with multiple treatment conditions or related individuals. These data, as well as nearly all high-throughput 'omic' data, are influenced by technical and biological factors unknown to the researcher, which, if unaccounted for, can severely obfuscate estimation of and inference on the effects of interest. We therefore developed CBCV and CorrConf: provably accurate and computationally efficient methods to choose the number of and estimate latent confounding factors present in high dimensional data with correlated or nonexchangeable residuals. We demonstrate each method's superior performance compared to other state of the art methods by analyzing simulated multi-tissue gene expression data and identifying sex-associated DNA methylation sites in a real, longitudinal twin study.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.