Evidence map›Paper›PMID 37234206›Full record

ArticleStatistica Sinica2023

Sieve estimation of a class of partially linear transformation models with interval-censored competing risks data.

Xuewen Lu, Yan Wang, Dipankar Bandyopadhyay, Giorgos Bakoyannis

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistica Sinica, 2023. 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.

Xuewen LuUniversity of Calgary, Calgary, AB, T2N 1N4, Canada.
Yan WangUniversity of Calgary, Calgary, AB, T2N 1N4, Canada.
Dipankar BandyopadhyayVirginia Commonwealth University, VA 23298-0032, USA.
Giorgos BakoyannisIndiana University, Indianapolis, IN, USA.

Funding

East Africa International Epidemiology Database to evaluate AIDS (IeDEA) Regional ConsortiumU01AI069911 · NIAID · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI AGGREY SEMWENDERO SEMEERE, Kara Kay Wools-Kaloustian · 2006 to 2026
$57.7M
Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Kim Felder Rhoads · 1985 to 2026
$51.0M
Statistical methods for characterizing patients who highly-benefit from treatments and programs in Alzheimers, HIV, and other heterogeneous diseasesR01AI140854 · NIAID · JOHNS HOPKINS UNIVERSITY · PI FRANGAKIS, CONSTANTINE E · 2018 to 2021
$1.8M
Supplement: Spatiotemporal models for periodontal disease monitoring and recall frequenciesR01DE024984 · NIDCR · VIRGINIA COMMONWEALTH UNIVERSITY · PI BANDYOPADHYAY, DIPANKAR, REICH, BRIAN J. · 2015 to 2017
$1.2M
Estimating the cascade of HIV care under incomplete outcome ascertainmentR21AI145662 · NIAID · INDIANA UNIVERSITY INDIANAPOLIS · PI BAKOYANNIS, GIORGOS · 2019 to 2020
$433k
NCI NIH HHS P30 CA016059NIAID NIH HHS R01 AI140854NIAID NIH HHS R21 AI145662NIAID NIH HHS U01 AI069911NIDCR NIH HHS R01 DE024984
6 · The paper itself

Abstract

In this paper, we consider a class of partially linear transformation models with interval-censored competing risks data. Under a semiparametric generalized odds rate specification for the cause-specific cumulative incidence function, we obtain optimal estimators of the large number of parametric and nonparametric model components via maximizing the likelihood function over a joint B-spline and Bernstein polynomial spanned sieve space. Our specification considers a relatively simpler finite-dimensional parameter space, approximating the infinite-dimensional parameter space as

Indexed as

Bernstein polynomialsCompeting risksCumulative incidence functionInterval censoringPartially linear transformation modelSemiparametric efficiency

Identifiers

PMID37234206
PMCPMC10208244

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.