Evidence map›Paper›PMID 40596285›Full record

ArticleScientific reports2025

A new proportional hazard model with applications to breastfeeding data.

Yolanda M Gómez, Wilson E Caimanque, John L Santibáñez, Rocío Zúñiga-Tapia, Diego I Gallardo, Marcelo Bourguignon

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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.

Yolanda M GómezDepartamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío, Concepción, 4081112, Chile. ygomez@ubiobio.cl.
Wilson E CaimanqueDepartamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó, Chile.
John L SantibáñezDepartamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó, Chile.
Rocío Zúñiga-TapiaEscuela de Enfermería, Facultad de Ciencias para el Cuidado de la Salud, Universidad San Sebastián, Concepción, Chile.
Diego I GallardoDepartamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío, Concepción, 4081112, Chile.
Marcelo BourguignonDepartamento de Estatística, Universidade Federal do Rio Grande do Norte, Natal, RN, Brazil.

Funding

Fondo Nacional de Desarrollo Científico y Tecnológico (FONDECYT) 11230397
6 · The paper itself

Abstract

The World Health Organization recommends exclusive breastfeeding for the first 6 months of life, but several factors influence its cessation. Changes in breastfeeding behavior have been reported in the literature among infants at 0, 1, 3 and 5 months. The purpose of this paper is to introduce a new proportional hazards model based on the transformed-transformer method, employing the Weibull and piecewise exponential distributions as baseline models, with the aim of setting the partitions at the time when most weaning occurs. Some properties of the model, including monotonicity and quantile functions, are discussed in detail. Additionally, a regression model for censored data is presented. The parameters of the proposed distribution are estimated using the maximum likelihood approach. Some numerical illustrations of the estimators are presented with a discussion of the obtained results. Finally, two real applications related to breastfeeding in Brazil and the USA are provided to illustrate the usefulness of our proposal.

Indexed as

Breast FeedingBrazilFemaleHumansInfantInfant, NewbornProportional Hazards ModelsUnited StatesGradient testLikelihood ratio testPower functionSample SizeScore testSurvival dataWald testWeibull model

Identifiers

PMID40596285
PMCPMC12215911

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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.