ArticleJournal of the American Statistical Association2019
Sparse Sliced Inverse Regression Via Lasso.
Article in Journal of the American Statistical Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed.
- Weighted sliced inverse regression for scalable supervised dimensionality reduction of spatial transcriptomics data.Nature communications · 2026Article
- Olfactory dysfunction is associated with gait impairment in older adults: evidence for a shared amygdala substrate.GeroScience · 2026Article
- Machine learning model for predicting hypotension following continuous renal replacement therapy initiation in end-stage kidney disease patients: a SHAP-interpretable approach.Frontiers in medicine · 2026Article
- Association of sociodemographic and lifestyle factors and dietary intake with overweight and obesity among U.S. children: findings from NHANES.BMC public health · 2024Article
- Sparse kernel sufficient dimension reduction.Journal of nonparametric statistics · 2024Article
- Semiparametrically Efficient Method for Enveloped Central Space.Journal of the American Statistical Association · 2024Article
- Constructing time-invariant dynamic surveillance rules for optimal monitoring schedules.Biometrics · 2023Article
- Anti-ferroptoticJournal of gastrointestinal oncology · 2023Article
- Projection expectile regression for sufficient dimension reduction.Computational statistics & data analysis · 2023Article
- A risk nomogram for predicting prolonged intensive care unit stays in patients with chronic obstructive pulmonary disease.Frontiers in medicine · 2023Article
- Sparse sliced inverse regression for high dimensional data analysis.BMC bioinformatics · 2022Article
- Novel prognostic biomarkers, METTL14 and YTHDF2, associated with RNA methylation in Ewing's sarcoma.Scientific reports · 2022Article
- FUNCTIONAL SUFFICIENT DIMENSION REDUCTION THROUGH AVERAGE FRÉCHET DERIVATIVES.Annals of statistics · 2022Article
- Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score.Journal of machine learning research : JMLR · 2022Article
- Dietary Intake and Asthma in Preschoolers: A Logistic Lasso Regression Analysis.Frontiers in pediatrics · 2022Article
- Article
- A selective overview of deep learning.Statistical science : a review journal of the Institute of Mathematical Statistics · 2021Article
- Sufficient Dimension Reduction for Feasible and Robust Estimation of Average Causal Effect.Statistica Sinica · 2021Article
- MODEL FREE ESTIMATION OF GRAPHICAL MODEL USING GENE EXPRESSION DATA.The annals of applied statistics · 2021Article
- The Change-Plane Cox Model.Biometrika · 2018Article
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
For multiple index models, it has recently been shown that the sliced inverse regression (SIR) is consistent for estimating the sufficient dimension reduction (SDR) space if and only if
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.