Evidence map›Paper›PMID 40814405›Full record

ArticleScandinavian journal of statistics, theory and applications2025

Post-selection inference for the Cox model with interval-censored data.

Jianrui Zhang, Chenxi Li, Haolei Weng

Abstract read
In one paragraph

Article in Scandinavian journal of statistics, theory and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Jianrui ZhangDepartment of Statistics and Probability, Michigan State University, East Lansing, Michigan, USA.
Chenxi LiDepartment of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan, USA.
Haolei WengDepartment of Statistics and Probability, Michigan State University, East Lansing, Michigan, USA.

Funding

Survival genetics methods for detecting sex-dependent genetic effects on Alzheimer’s diseaseR56AG075803 · NIA · MICHIGAN STATE UNIVERSITY · PI LI, CHENXI · 2022 to 2022
$384k
NIA NIH HHS R56 AG075803
6 · The paper itself

Abstract

We develop a post-selection inference method for the Cox proportional hazards model with interval-censored data, which provides asymptotically valid p-values and confidence intervals conditional on the model selected by lasso. The method is based on a pivotal quantity that is shown to converge to a uniform distribution under local parameters. Our method involves estimation of the efficient information matrix, for which several approaches are proposed with proof of their consistency. Thorough simulation studies show that our method has satisfactory performance in samples of modest sizes. The utility of the method is illustrated via an application to an Alzheimer's disease study.

Indexed as

Cox modelInterval censoringLassoPost-selection inferenceSemiparametric inference

Identifiers

PMID40814405
PMCPMC12347693

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.