Evidence map›Paper›PMID 37860618›Full record

ArticleStatistical science : a review journal of the Institute of Mathematical Statistics2021

In Defense of the Indefensible: A Very Naïve Approach to High-Dimensional Inference.

Sen Zhao, Daniela Witten, Ali Shojaie

Open access · greenAbstract read
In one paragraph

Article in Statistical science : a review journal of the Institute of Mathematical Statistics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

25 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Development and validation of a self-report adaptability measure for the military remote operations community.Military psychology : the official journal of the Division of Military Psychology, American Psychological Association · 2026
    Article
  5. Article
  6. Observational
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  9. Article
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  14. Social Frailty Index: Development and validation of an index of social attributes predictive of mortality in older adults.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Article
  16. NETWORK DIFFERENTIAL CONNECTIVITY ANALYSIS.The annals of applied statistics · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. 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 at 2 institutions in 1 country.

Sen Zhao1600Amphitheatre Parkway, Mountain View, California 94043, USA.
Daniela WittenUniversity of Washington, Health Sciences Building, Box 357232, Seattle, Washington 98195, USA.
Ali ShojaieUniversity of Washington, Health Sciences Building, Box 357232, Seattle, Washington 98195, USA.
University of Washington · USGoogle (United States) · US

Funding

Machine Learning Tools for Discovery and Analysis of Active Metabolic PathwaysR01GM114029 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2016 to 2020
$1.7M
Novel Statistical Inference for Biomedical Big DataR01GM133848 · NIGMS · UNIVERSITY OF WASHINGTON · PI SHOJAIE, ALI · 2020 to 2023
$1.7M
NIGMS NIH HHS R01 GM114029NIGMS NIH HHS R01 GM133848
6 · The paper itself

Abstract

A great deal of interest has recently focused on conducting inference on the parameters in a high-dimensional linear model. In this paper, we consider a simple and very naïve two-step procedure for this task, in which we (i) fit a lasso model in order to obtain a subset of the variables, and (ii) fit a least squares model on the lasso-selected set. Conventional statistical wisdom tells us that we cannot make use of the standard statistical inference tools for the resulting least squares model (such as confidence intervals and

Indexed as

confidence intervallassopost-selection inferencep-valuesignificance testing

Identifiers

PMID37860618
PMCPMC10586523
OpenAlexW2616738109

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.