Evidence map›Paper›PMID 33767519›Full record

ArticleJournal of applied statistics2021

Regression Analysis of Case-cohort Studies in the Presence of Dependent Interval Censoring.

Mingyue Du, Qingning Zhou, Shishun Zhao, Jianguo Sun

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied statistics, 2021. 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

4 authors.

Mingyue DuCenter for Applied Statistical Research and College of Mathematics, Jilin University, Changchun, China.
Qingning ZhouDepartment of Mathematics and Statistics, The University of North Carolina at Charlotte, Charlotte, NC, USA.
Shishun ZhaoCenter for Applied Statistical Research and College of Mathematics, Jilin University, Changchun, China.
Jianguo SunDepartment of Statistics, University of Missouri, Columbia, MO, USA.

Funding

Methods for Complex Longitudinal Data in HIV/AIDS Prevention ResearchR56AI140953 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI CHEN, YING QING · 2018 to 2018
$657k
NIAID NIH HHS R56 AI140953
6 · The paper itself

Abstract

The case-cohort design is widely used as a means of reducing the cost in large cohort studies, especially when the disease rate is low and covariate measurements may be expensive, and has been discussed by many authors. In this paper, we discuss regression analysis of case-cohort studies that produce interval-censored failure time with dependent censoring, a situation for which there does not seem to exist an established approach. For inference, a sieve inverse probability weighting estimation procedure is developed with the use of Bernstein polynomials to approximate the unknown baseline cumulative hazard functions. The proposed estimators are shown to be consistent and the asymptotic normality of the resulting regression parameter estimators are established. A simulation study is conducted to assess the finite sample properties of the proposed approach and indicates that it works well in practical situations. The proposed method is applied to an HIV/AIDS case-cohort study that motivated this investigation.

Indexed as

Case-cohort designDependent interval censoringInverse probability weightingProportional hazards model

Identifiers

PMID33767519
PMCPMC7986575

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.