Pourhoseingholi Mohamad Amin, Pourhoseingholi Asma, Moghimi-Dehkordi Bijan, Safaee Azadeh, Solhpour Ali
Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University, M.C., Tehran, Iran.
Gastroenterol Hepatol Bed Bench. 2011 Winter;4(1):23-8.
The aim of this study was to determine whether there is relation between body mass index and symptoms of gastro-esophageal reflux disease in our community using Logit, Probit and Complementary log-log models.
The most frequent statistical tool to address the relationship among a dichotomous response and other covariates is logistic regression. However logistic regression is familiar for researchers, some other models with similar results are favorable to assess such relationship like as Probit and Complementary log-log.
We carried out a population-based study to estimate the strength of the association between body mass and reflux symptoms. During interview, participants completed a valid Gastro-esophageal Reflux Questionnaire. The coefficients calculated by logistic, Probit and Complementary log-log regression with multivariate adjustments for covariates.
Reflux symptoms at least once a week over the last three months were reported by 522 (9.1%) of the 5733 interviewees. There were no evidence in all models to address the significant relation between Reflux and BMI and all models derived in same efficacy.
Our results showed that the choice of the link function in this analysis is not the most important issue but still a user could also look forward to some other link functions like Probit and Complementary log-log.
本研究旨在使用Logit、Probit和互补对数-对数模型确定在我们的社区中体重指数与胃食管反流病症状之间是否存在关联。
处理二分反应与其他协变量之间关系最常用的统计工具是逻辑回归。然而，尽管逻辑回归为研究人员所熟知，但一些具有相似结果的其他模型，如Probit和互补对数-对数模型，也有利于评估这种关系。
我们开展了一项基于人群的研究，以评估体重与反流症状之间关联的强度。在访谈期间，参与者完成了一份有效的胃食管反流问卷。通过对协变量进行多变量调整的逻辑回归、Probit回归和互补对数-对数回归计算系数。
5733名受访者中有522人（9.1%）报告在过去三个月中每周至少出现一次反流症状。所有模型均未显示反流与体重指数之间存在显著关联，且所有模型的效能相同。
我们的结果表明，本分析中链接函数的选择并非最重要的问题，但用户仍可期待一些其他的链接函数，如Probit和互补对数-对数函数。
