background: breast cancer is the most prevalent malignancy in women and there are many possible reasons for its occurrence. one important issue in different kinds of cancers is the spreading of cancerous cells to other tissues (metastasis). therefore, we have investigated the factors associated with the prediction of metastasis of breast cancer with data mining tools. methods: this study is a c...

Ordinal logistic regression models have been developed for analysis of epidemiological studies. However, the adequacy of such models for adjustment has so far received little attention. In this article, we reviewed the most important ordinal regression models and common approaches used to verify goodness-of-fit, using R or Stata programs. We performed formal and graphical analyses to compare or...

Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more independent variables. This paper reviews the case when the DV has more than two levels, either ordered or not, gives and explains SAS R © code for these methods, and illustrates them with examples.

Background Ordinal outcomes are common; however, selecting an appropriate analysis is often problematic. Acute stroke trials routinely measure dependency using an ordinal scale as the primary outcome. Historically trials have dichotomised ordinal scales to compare the proportion dependent across groups, which limits statistical power to detect an effect. The OAST Collaboration (2007) showed ord...

We propose in this article a Composite Logistic Regression (CLR) approach for ordinal panel data regression. The new method transforms the original ordinal regression problem into a number of binary ones. Thereafter, the method of conditional logistic regression (Chamberlain, 1984; Wooldridge, 2001; Hsiao, 2003) can be directly applied. As a result, the new method allows the unobserved subject ...

Objective. This article examines the black-white gap in confidence in education in the United States and how the gap has changed over time. Method. The study uses ordinal logit regression on General Social Surveys (1974–2002). Results. Whites have less confidence in education, partly because whites tend to have higher levels of education, income, and conservatism, and are more likely to be affi...