{"title":"Likelihood ratio test for the analysis of germination percentages","authors":"Yongha Rhie, Soyeon Lee, Hohsuk Noh","doi":"10.1017/s0960258524000023","DOIUrl":null,"url":null,"abstract":"The germination percentage (GP) is commonly employed to estimate the viability of a seed population. Statistical methods such as analysis of variance (ANOVA) and logistic regression are frequently used to analyse GP data. While ANOVA has a long history of usage, logistic regression is considered more suitable for GP data due to its binomial nature. However, both methods have inherent issues that require attention. In this study, we address previously unexplored challenges associated with these methods and propose the utilization of a likelihood ratio test as a solution. We demonstrate the advantages of employing the likelihood ratio test for GP data analysis through simulations and real data analysis.","PeriodicalId":21711,"journal":{"name":"Seed Science Research","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seed Science Research","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1017/s0960258524000023","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The germination percentage (GP) is commonly employed to estimate the viability of a seed population. Statistical methods such as analysis of variance (ANOVA) and logistic regression are frequently used to analyse GP data. While ANOVA has a long history of usage, logistic regression is considered more suitable for GP data due to its binomial nature. However, both methods have inherent issues that require attention. In this study, we address previously unexplored challenges associated with these methods and propose the utilization of a likelihood ratio test as a solution. We demonstrate the advantages of employing the likelihood ratio test for GP data analysis through simulations and real data analysis.
发芽率（GP）通常用于估算种子群体的存活率。方差分析 (ANOVA) 和逻辑回归等统计方法常用于分析 GP 数据。方差分析的使用历史悠久，而逻辑回归因其二项式性质被认为更适合 GP 数据。然而，这两种方法都有需要注意的固有问题。在本研究中，我们探讨了与这些方法相关的以前未曾探讨过的难题，并提出了使用似然比检验作为解决方案的建议。我们通过模拟和实际数据分析证明了在 GP 数据分析中使用似然比检验的优势。
期刊介绍：
Seed Science Research, the official journal of the International Society for Seed Science, is a leading international journal featuring high-quality original papers and review articles on the fundamental aspects of seed science, reviewed by internationally distinguished editors. The emphasis is on the physiology, biochemistry, molecular biology and ecology of seeds.
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