Evidence map›Paper›PMID 29097827›Full record

ArticleJournal of the American Statistical Association2016

Multitask Quantile Regression under the Transnormal Model.

Jianqing Fan, Lingzhou Xue, Hui Zou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Statistical Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Monte Carlo inference for semiparametric Bayesian regression.Journal of the American Statistical Association · 2025
    Article
  2. Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis.Technometrics : a journal of statistics for the physical, chemical, and engineering sciences · 2020
    Article
  3. Robust genetic interaction analysis.Briefings in bioinformatics · 2019
    Review
  4. Sufficient Forecasting Using Factor Models.Journal of econometrics · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jianqing FanPrinceton University, Pennsylvania State University and University of Minnesota.
Lingzhou XuePrinceton University, Pennsylvania State University and University of Minnesota.
Hui ZouPrinceton University, Pennsylvania State University and University of Minnesota.

Funding

Statistical Methods for Ultrahigh-dimensional Biomedical DataR01GM072611 · NIGMS · PRINCETON UNIVERSITY · PI CATTANEO, MATIAS DAMIAN · 2006 to 2021
$4.2M
Quantitative Methods for Genome-wide Analysis of Macrophage Activation by ESCsR01GM100474 · NIGMS · PRINCETON UNIVERSITY · PI FAN, JIANQING · 2011 to 2014
$1.5M
NIGMS NIH HHS R01 GM072611NIGMS NIH HHS R01 GM100474
6 · The paper itself

Abstract

We consider estimating multi-task quantile regression under the transnormal model, with focus on high-dimensional setting. We derive a surprisingly simple closed-form solution through rank-based covariance regularization. In particular, we propose the rank-based

Indexed as

Alternating direction method of multipliersCholesky decompositionCopula modelOptimal transformationPrediction intervalQuantile regressionRank correlation

Identifiers

PMID29097827
PMCPMC5662245

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.