Department of Psychology, Swansea University, Singleton Park, Swansea SA2 8PP, UK.
J Fluency Disord. 2013 Jun;38(2):88-101. doi: 10.1016/j.jfludis.2012.09.003. Epub 2012 Oct 8.
To outline the uses of logistic regression and other statistical methods for risk factor analysis in the context of research on stuttering.
The principles underlying the application of a logistic regression are illustrated, and the types of questions to which such a technique has been applied in the stuttering field are outlined. The assumptions and limitations of the technique are discussed with respect to existing stuttering research, and with respect to formulating appropriate research strategies to accommodate these considerations. Finally, some alternatives to the approach are briefly discussed.
The way the statistical procedures are employed are demonstrated with some hypothetical data.
Research into several practical issues concerning stuttering could benefit if risk factor modelling were used. Important examples are early diagnosis, prognosis (whether a child will recover or persist) and assessment of treatment outcome.
After reading this article you will: (a) Summarize the situations in which logistic regression can be applied to a range of issues about stuttering; (b) Follow the steps in performing a logistic regression analysis; (c) Describe the assumptions of the logistic regression technique and the precautions that need to be checked when it is employed; (d) Be able to summarize its advantages over other techniques like estimation of group differences and simple regression.
概述逻辑回归和其他统计方法在口吃研究中用于危险因素分析的用途。
说明了应用逻辑回归的基本原则，并概述了该技术在口吃领域应用的问题类型。讨论了该技术的假设和局限性，既涉及到现有口吃研究，也涉及到制定适当的研究策略以适应这些考虑因素。最后，简要讨论了一些替代方法。
用一些假设数据演示了统计程序的使用方式。
如果使用危险因素建模，对口吃的几个实际问题的研究将受益。重要的例子包括早期诊断、预后（儿童是否会康复或持续存在）以及治疗效果评估。
阅读本文后，您将：（a）总结逻辑回归可应用于一系列口吃问题的情况；（b）遵循执行逻辑回归分析的步骤；（c）描述逻辑回归技术的假设以及在使用时需要检查的注意事项；（d）能够总结其相对于其他技术（如群体差异估计和简单回归）的优势。
