Evidence map›Paper›PMID 28239246›Full record

ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2016

Fused Lasso Additive Model.

Ashley Petersen, Daniela Witten, Noah Simon

Abstract read
In one paragraph

Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Covariance Assisted Multivariate Penalized Additive Regression (CoMPAdRe).Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures.Journal of machine learning research : JMLR · 2021
    Article
  7. Reluctant Generalised Additive Modelling.International statistical review = Revue internationale de statistique · 2020
    Article
  8. Article
  9. Article
  10. Data-adaptive additive modeling.Statistics in medicine · 2019
    Article
  11. Flexible and Interpretable Models for Survival Data.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2019
    Article
  12. Saturating Splines and Feature Selection.Journal of machine learning research : JMLR · 2018
    Article
  13. Convex Regression with Interpretable Sharp Partitions.Journal of machine learning research : JMLR · 2016
    Article
  14. Generalized Sparse Additive Models.Journal of machine learning research : JMLR
    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.

Ashley PetersenDepartment of Biostatistics, University of Washington, Seattle WA 98195.
Daniela WittenDepartment of Biostatistics, University of Washington, Seattle WA 98195.
Noah SimonDepartment of Biostatistics, University of Washington, Seattle WA 98195.

Funding

High-dimensional unsupervised learning, with applications to genomicsDP5OD009145 · OD · UNIVERSITY OF WASHINGTON · PI WITTEN, DANIELA · 2011 to 2015
$1.8M
Data-Driven Statistical Learning with Applications to GenomicsDP5OD019820 · OD · UNIVERSITY OF WASHINGTON · PI SIMON, NOAH · 2014 to 2018
$1.7M
NIH HHS DP5 OD009145NIH HHS DP5 OD019820
6 · The paper itself

Abstract

We consider the problem of predicting an outcome variable using

Indexed as

additive modelfeature selectionhigh-dimensionalnon-parametric regressionpiecewise constantsparsity

Identifiers

PMID28239246
PMCPMC5321231

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.