Evidence map›Paper›PMID 38405375›Full record

ArticleAnnals of statistics2023

EFFICIENT ESTIMATION OF THE MAXIMAL ASSOCIATION BETWEEN MULTIPLE PREDICTORS AND A SURVIVAL OUTCOME.

Tzu-Jung Huang, Alex Luedtke, Ian W McKeague

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of statistics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Post-selection inference for high-dimensional mediation analysis with survival outcomes.Scandinavian journal of statistics, theory and applications · 2025
    Article
  2. 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.

Tzu-Jung HuangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center.
Alex LuedtkeDepartment of Statistics, University of Washington.
Ian W McKeagueDepartment of Biostatistics, Columbia University.

Funding

High-Resolution Inference for Correlates of Vaccine ProtectionDP2LM013340 · NLM · UNIVERSITY OF WASHINGTON · PI LUEDTKE, ALEX · 2019 to 2019
$2.3M
Inferential methods for functional data from wearable devicesR01AG062401 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MCKEAGUE, IAN WRAY · 2019 to 2023
$1.5M
NIA NIH HHS R01 AG062401NLM NIH HHS DP2 LM013340
6 · The paper itself

Abstract

This paper develops a new approach to post-selection inference for screening high-dimensional predictors of survival outcomes. Post-selection inference for right-censored outcome data has been investigated in the literature, but much remains to be done to make the methods both reliable and computationally-scalable in high-dimensions. Machine learning tools are commonly used to provide

Indexed as

marginal screeningpost-selection inferencesemiparametric efficiency

Identifiers

PMID38405375
PMCPMC10888526

What OpenQuestion holds

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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.