ArticleBayesian analysis2019
High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors.
Article in Bayesian analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Outcome-Adaptive Lasso for Cox Proportional Hazards Model.Biometrical journal. Biometrische Zeitschrift · 2026Article
- Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects.Current environmental health reports · 2026Review
- Agricultural pesticide use and Alzheimer's disease dementia prevalence across US counties in a mixed supervised-unsupervised analysis.Scientific reports · 2026Article
- Multi-omics data integration using time-to event endpoint and supervised Cox penalized regression: a comprehensive review.Clinical and experimental medicine · 2026Review
- Integrated multi-omics analysis identifies SELENOP and PKMYT1 as immune-metabolic hub genes in breast cancer.Biochemistry and biophysics reports · 2025Article
- Bayesian Estimation of Propensity Scores for Integrating Multiple Cohorts with High-Dimensional Covariates.Statistics in biosciences · 2024Article
- Causal-StoNet: Causal Inference for High-Dimensional Complex Data.... International Conference on Learning Representations · 2024Article
- High-dimensional generalized median adaptive lasso with application to omics data.Briefings in bioinformatics · 2024Article
- Causal inference in high dimensions: A marriage between Bayesian modeling and good frequentist properties.Biometrics · 2022Article
- A causal exposure response function with local adjustment for confounding: Estimating health effects of exposure to low levels of ambient fine particulate matter.The annals of applied statistics · 2020Article
- Data Science in Environmental Health Research.Current epidemiology reports · 2019Article
- High-Dimensional Confounding Adjustment Using Continuous Spike and Slab Priors.Bayesian analysis · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
In observational studies, estimation of a causal effect of a treatment on an outcome relies on proper adjustment for confounding. If the number of the potential confounders (
Indexed as
Identifiers
What OpenQuestion holds
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.