Kuk Lida Lee’s research while affiliated with Indiana University Bloomington and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


An Introduction to Logistic Regression Analysis and Reporting
  • Article
  • Full-text available

September 2002

·

69,782 Reads

·

2,517 Citations

·

Kuk Lida Lee

·

Gary M. Ingersoll

The purpose of this article is to provide researchers, editors, and readers with a set of guidelines for what to expect in an article using logistic regression techniques. Tables, figures, and charts that should be included to comprehensively assess the results and assumptions to be verified are discussed. This article demonstrates the preferred pattern for the application of logistic methods with an illustration of logistic regression applied to a data set in testing a research hypothesis. Recommendations are also offered for appropriate reporting formats of logistic regression results and the minimum observation-to-predictor ratio. The authors evaluated the use and interpretation of logistic regression presented in 8 articles published in The Journal of Educational Research between 1990 and 2000. They found that all 8 studies met or exceeded recommended criteria.

Download

Citations (1)


... This method relies on the category of the nearest one or several samples to make a decision on the category of the sample. 2. Logistic regression (LR) [44] is a Multivariate analysis method with Supervised learning algorithm to study the relationship between classification dependent variables and some influencing factors. The core idea of logistic regression is to assume that the data follows a particular distribution and then use maximum likelihood estimation to estimate the parameters. ...

Reference:

Attention-Based Behavioral Cloning for algorithmic trading
An Introduction to Logistic Regression Analysis and Reporting