Gómez Yolanda M, Caimanque Wilson E, Santibáñez John L, Zúñiga-Tapia Rocío, Gallardo Diego I, Bourguignon Marcelo
Departamento de Estadística, Facultad de Ciencias, Universidad del Bío-Bío, Concepción, 4081112, Chile.
Departamento de Matemática, Facultad de Ingeniería, Universidad de Atacama, Copiapó, Chile.
Sci Rep. 2025 Jul 1;15(1):21869. doi: 10.1038/s41598-025-08219-4.
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.
世界卫生组织建议在生命的头6个月进行纯母乳喂养,但有几个因素会影响母乳喂养的停止。文献中已报道了0、1、3和5个月大婴儿的母乳喂养行为变化。本文的目的是引入一种基于变换-变压器方法的新比例风险模型,采用威布尔分布和分段指数分布作为基线模型,目的是在大多数断奶发生的时间设置划分点。详细讨论了该模型的一些性质,包括单调性和分位数函数。此外,还提出了一种用于删失数据的回归模型。使用最大似然法估计所提出分布的参数。给出了估计量的一些数值例证,并对所得结果进行了讨论。最后,提供了两个与巴西和美国母乳喂养相关的实际应用案例,以说明我们所提方法的实用性。