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使用分层Cox模型和扩展Cox模型对任抹县卡斯特里烟草植株进行生存分析。

Survival analysis of Kasturi tobacco plants in Jember district using the stratified cox and extended cox models.

作者信息

Pratama Angga Iryanto, Rantini Dwi, Ningrum Ratih Ardiati, Ramadan Arip, Othman Fazidah

机构信息

Data Science Technology Study Program, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya 60115, Indonesia.

Research Group of Data-Driven Decision Support System, Faculty of Advanced Technology and Multidiscipline, Universitas Airlangga, Surabaya 60115, Indonesia.

出版信息

MethodsX. 2025 May 27;14:103400. doi: 10.1016/j.mex.2025.103400. eCollection 2025 Jun.

Abstract

In 2022, tobacco was the top export commodity, generating $106.3 million in sales. East Java Province contributes significantly to Indonesia's tobacco production, with an annual output of 188.6 thousand tons. Jember Regency is the area in East Java Province which is a Kasturi tobacco cultivation area. The productivity of Kasturi tobacco continues to decrease due to several factors that can affect the survival of the tobacco. This study aims to analyze the survival of Kasturi tobacco by creating stratified Cox and extended Cox models in order to handle factors that cannot fulfill the proportional hazard assumption. Based on the results of the analysis, the stratified Cox model is the best model with AIC and BIC values of 798.108 and 805.5748 respectively, while the extended Cox has AIC and BIC values of 840.2186 and 850.1732 respectively. Variables that can significantly affect the survival of Kasturi tobacco are the variable concentration of ZA fertilizer, pesticide concentration. The addition of ZA fertilizer must be appropriate, because if excessive it can cause poisoning of tobacco plants. Likewise with pesticides, if excessive it will cause damage to the leaves. This policy can increase the productivity of Kasturi tobacco. Then, Jember Regency contributes greater export capacity.•This paper aims to determine the factors that affect the survival of Kasturi tobacco plants in Jember•By using the extended Cox model, the best one is obtained using the Heaviside function with AIC and BIC values of 840.2186 and 850.1732, respectively•The stratified Cox model is better than the extended Cox model, which has AIC and BIC values of 798.108 and 805.5748, respectively.

摘要

2022年,烟草是头号出口商品,销售额达1.063亿美元。东爪哇省对印度尼西亚的烟草生产贡献显著,年产量为18.86万吨。任抹县是东爪哇省的一个卡斯特里烟草种植区。由于多种影响烟草存活的因素,卡斯特里烟草的产量持续下降。本研究旨在通过创建分层Cox模型和扩展Cox模型来分析卡斯特里烟草的存活情况,以处理不符合比例风险假设的因素。基于分析结果,分层Cox模型是最佳模型,其AIC和BIC值分别为798.108和805.5748,而扩展Cox模型的AIC和BIC值分别为840.2186和850.1732。能够显著影响卡斯特里烟草存活的变量是锌铵磷肥浓度变量、农药浓度。锌铵磷肥的添加必须适量,因为过量会导致烟草植株中毒。农药也是如此,过量会导致叶片受损。这一政策可以提高卡斯特里烟草的产量。进而,任抹县的出口能力更强。•本文旨在确定影响任抹县卡斯特里烟草植株存活的因素•通过使用扩展Cox模型,使用Heaviside函数获得了最佳模型,其AIC和BIC值分别为840.2186和850.1732•分层Cox模型优于扩展Cox模型,后者的AIC和BIC值分别为798.108和805.5748。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/049e/12177170/3685012b98f3/ga1.jpg

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