With advances in modern medicine and clinical diagnosis, case-control data with characterization of finer subtypes of cases are often available. In matched case-control studies, missingness in exposure values often leads to deletion of entire stratum, and thus entails a significant loss in information. When subtypes of cases are treated as categorical outcomes, the data are further stratified a...

Studying the location of an airport is essential for optimizing its functionality, ensuring safety, and maximizing economic benefits. There are many airports located within a short distance each other, users can often choose to travel between one or other depending on number variables that they value their final choice. In this paper, we design stated preference survey estimate latent class log...

Objective Atlanto-axial dislocations (AADs) are potentially fatal disturbances with high spinal cord compression syndrome. As surgeons are still uncertain who is likely to benefit the most from surgery, a prediction tool is needed to provide decision-making support. Methods The model was established based on 108 patients with AADs using multiple binary logistic regression analysis and evaluated...

With samples from Akure Nigeria, the study examined the variation of the satisfaction of the people living around GSM base stations with distance away from the location of the base station. Using Crosstabs' nominal-by-nominal measures, the study found that the further the distances away from the base station, the higher the percentages of those that are satisfied; When the effect of fear of hea...

The cumulative logit or the proportional odds regression model is commonly used to study covariate effects on ordinal responses. This paper provides some graphical and numerical methods for checking the adequacy of the proportional odds regression model. The methods focus on evaluating functional misspecification for specific covariate effects, but misspecification of the link function can also...

For regression models other than the linear model, R-squared type goodness-of-fit summary statistics have been constructed for particular models using a variety of methods. We propose an R-squared measure of goodness of fit for the class of exponential family regression models, which includes logit, probit, Poisson, geometric, gamma and exponential. This R-squared is defined as the proportionat...

This paper presents an analysis of the choice of airport by air-travellers departing from the San Francisco Bay area. The analysis uses the mixed multinomial logit model, which allows for a random distribution of tastes across decision-makers. To our knowledge, this is the first application using this model form in the analysis of airport choice. The results indicate that there is significant h...