Evidence map›Paper›PMID 40186714›Full record

ArticleLifetime data analysis2025

Lifetime analysis with monotonic degradation: a boosted first hitting time model based on a homogeneous gamma process.

Clara Bertinelli Salucci, Azzeddine Bakdi, Ingrid Kristine Glad, Bo Henry Lindqvist, Erik Vanem, Riccardo De Bin

Abstract read
In one paragraph

Article in Lifetime data analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Clara Bertinelli SalucciDepartment of Mathematics, University of Oslo, Moltke Moes vei 35, 0851, Oslo, Norway. clarabe@math.uio.no.ORCID 0000-0001-7685-2486
Azzeddine BakdiCorvus Energy, Tormod Gjestlands veg 51, 3936, Porsgrunn, Norway.ORCID 0000-0002-0899-1692
Ingrid Kristine GladDepartment of Mathematics, University of Oslo, Moltke Moes vei 35, 0851, Oslo, Norway.ORCID 0000-0002-5156-7109
Bo Henry LindqvistDepartment of Mathematical Sciences, Norwegian University of Science and Technology, Alfred Getz vei 1, 7491, Trondheim, Norway.ORCID 0000-0001-8952-9311
Erik VanemDepartment of Mathematics, University of Oslo, Moltke Moes vei 35, 0851, Oslo, Norway.ORCID 0000-0002-0875-0389
Riccardo De BinDepartment of Mathematics, University of Oslo, Moltke Moes vei 35, 0851, Oslo, Norway.ORCID 0000-0002-7441-6880

Funding

Norges Forskningsråd 237718
6 · The paper itself

Abstract

In the context of time-to-event analysis, First hitting time methods consider the event occurrence as the ending point of some evolving process. The characteristics of the process are of great relevance for the analysis, which makes this class of models interesting and particularly suitable for applications where something about the degradation path is known. In cases where the degradation can only worsen, a monotonic process is the most suitable choice. This paper proposes a boosting algorithm for first hitting time models based on an underlying homogeneous gamma process to account for the monotonicity of the degradation trend. The predictive power and versatility of the algorithm are shown with real data examples from both engineering and biomedical applications, as well as with simulated examples.

Indexed as

AlgorithmsModels, StatisticalComputer SimulationHumansSurvival AnalysisTime FactorsCox modelFirst hitting timeGradient boostingHomogeneous gamma processTime-to-event outcome

Identifiers

PMID40186714
PMCPMC12043765

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.