Evidence map›Paper›PMID 39790711›Full record

ArticleCommunications in statistics: Simulation and computation2025

Adjusted curves for clustered survival and competing risks data.

Manoj Khanal, Soyoung Kim, Kwang Woo Ahn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications in statistics: Simulation and computation, 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. Competing risks regression for clustered data with covariate-dependent censoring.Communications in statistics: theory and methods · 2025
    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.

Manoj KhanalDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Soyoung KimDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Kwang Woo AhnDivision of Biostatistics, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Funding

Data Resource for Analyzing Blood &Marrow TransplantsU24CA076518 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amy M Moskop, Bronwen Shaw · 1998 to 2026
$105.2M
NCI NIH HHS U24 CA076518
6 · The paper itself

Abstract

Observational studies with right-censored data often have clustered data due to matched pairs or a study center effect. In such data, there may be an imbalance in patient characteristics between treatment groups, where Kaplan-Meier curves or unadjusted cumulative incidence curves can be misleading and may not represent the average patient on a given treatment arm. Adjusted curves are desirable to appropriately display survival or cumulative incidence curves in this case. We propose methods for estimating the adjusted survival and cumulative incidence probabilities for clustered right-censored data. For the competing risks outcome, we allow both covariate-independent and covariate-dependent censoring. We develop an R package

Indexed as

Adjusted curvesClustered right-censored dataCox proportional hazards modelProportional subdistribution hazards modelR Package adjSURVCI

Identifiers

PMID39790711
PMCPMC11708817

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.