Evidence map›Paper›PMID 29512005›Full record

ReviewLifetime data analysis2019

The wild bootstrap for multivariate Nelson-Aalen estimators.

Tobias Bluhmki, Dennis Dobler, Jan Beyersmann, Markus Pauly

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Lifetime data analysis, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nonparametric tests for multistate processes with clustered data.Annals of the Institute of Statistical Mathematics · 2022
    Article
  5. Article
  6. Article
  7. 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.

Tobias BluhmkiInstitute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.ORCID 0000-0003-2625-4167
Dennis DoblerDepartment of Mathematics, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands. d.dobler@vu.nl.ORCID 0000-0002-9040-0854
Jan BeyersmannInstitute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.
Markus PaulyInstitute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.

Funding

German Research Foundation BE 4500/1-1
6 · The paper itself

Abstract

We rigorously extend the widely used wild bootstrap resampling technique to the multivariate Nelson-Aalen estimator under Aalen's multiplicative intensity model. Aalen's model covers general Markovian multistate models including competing risks subject to independent left-truncation and right-censoring. This leads to various statistical applications such as asymptotically valid confidence bands or tests for equivalence and proportional hazards. This is exemplified in a data analysis examining the impact of ventilation on the duration of intensive care unit stay. The finite sample properties of the new procedures are investigated in a simulation study.

Indexed as

Computer SimulationMultivariate AnalysisProportional Hazards ModelsStatistics, NonparametricBiometryData AnalysisHumansIntensive Care UnitsLength of StayModels, StatisticalRespiration, ArtificialSensitivity and SpecificitySurvival AnalysisConditional central limit theoremCounting processEquivalence testKolmogorov–Smirnov testProportional hazardsSurvival analysisWeak convergence

Identifiers

PMID29512005
PMCPMC6323102

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.