Logistic regression with binary and multinomial outcomes is commonly used, and researchers have long searched for an interpretable measure of the strength of a particular logistic model. This article describes the large sample properties of some pseudo-R statistics for assessing the predictive strength of the logistic regression model. We present theoretical results regarding the convergence an...

In this work we propose to build a set of binary logistic models that could assess the probability of success or no success in oral rehabilitation process taking into account some genetic factors, individual habits clinical and non-clinical factors. The study was conducted in a retrospective evaluation and consisted of 155 subjects undergoing oral rehabilitation in the Northern region of Portug...

In this letter, we consider the problem of field estimation using binary measurements. Previous work has formulated as a parameter problem, with carried out in an online manner sequential Monte Carlo techniques. current work, alternative approach to based on logistic regression. The developed algorithm is less computationally intensive than approach, while having more reliable performance.

This paper examines stochastic pairwise dependence structures in binary time series obtained from discretised versions of standard chaotic logistic maps. It is motivated by applications in communications modelling which make use of so-called chaotic binary sequences. The strength of non-linear stochastic dependence of the binary sequences is explored. In contrast to the original chaotic sequenc...

Hideki ORIGASA. Statistical methods for the analysis of longitudinal data with binary responses. (Under the direction of JAMES D. KNOKE). Medical researches often involve a time factor. Each subject has observations at several occasions. These are called longitudinal data. This work is only concerned with those with binary responses. The main issue of interest is to test the treatment effect in...

almcm-41 was applied for adsorption of methylene blue (mb) and auramine (au) in single and binary component systems. in the single component systems, almcm-41 represents higher adsorption capacity for mb than au with the maximal adsorption capacity of 2.07×10−4 and 1.15×10−4 mol/g at 25 ˚c for mb and au, respectively. in the binary component system, mb and au exhibit competitive adsorption onto...

In environmental management, we often have to deal with binary response variables whose outcome dictates the course of action. This paper introduces a nonparametric Bayesian binary regression model that is more exible than the commonly used logistic or probit models. Due to the Bayesian feature, the model can be easily used to combine observed data with our knowledge of the subject to produce s...