Evidence map›Paper›PMID 42142198›Full record

ArticleLifetime data analysis2026

Kolmogorov-Smirnov and Cramér-von Mises tests for the k-sample problem with left-truncated and right-censored data.

Adrián Lago, Juan Carlos Pardo-Fernández, Jacobo de Uña-Álvarez

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Lifetime data analysis, 2026. 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.

Adrián LagoSiDOR Research Group, Department of Statistics and Operations Research, Universidade deVigo, Campus Universitario Lagoas-Marcosende, 36310, Vigo, Spain. adrian.lago@uvigo.gal.ORCID http://orcid.org/0000-0002-6573-043X
Juan Carlos Pardo-FernándezSiDOR Research Group, Department of Statistics and Operations Research, CITMAga, Universidade de Vigo, Campus Universitario Lagoas-Marcosende, 36310, Vigo, Spain.
Jacobo de Uña-ÁlvarezSiDOR Research Group, Department of Statistics and Operations Research, CITMAga, Universidade de Vigo, Campus Universitario Lagoas-Marcosende, 36310, Vigo, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

k-Sample versions of the Kolmogorov-Smirnov and Cramér-von Mises tests are proposed for data subject to left truncation and right censoring. Their asymptotic behaviour is studied and a bootstrap resampling plan is proposed to approximate the null distribution of the new tests. The performance of the tests with finite sample sizes is investigated in a simulation study, where the classical log-rank test is also considered. An illustration with a real dataset regarding unemployment times is discussed.

Indexed as

Models, StatisticalComputer SimulationData Interpretation, StatisticalHumansSample SizeStatistics, NonparametricCensoringCramér–von MisesKolmogorov–SmirnovK-Sample problemTruncation

Identifiers

PMID42142198
PMCPMC13179922

What OpenQuestion holds

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LicenceCC BY
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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.