Longitudinal studies of a binary outcome are common in the health, social, and behavioral sciences. In general, a feature of random effects logistic regression models for longitudinal binary data is that the marginal functional form, when integrated over the distribution of the random effects, is no longer of logistic form. Recently, Wang and Louis (2003) proposed a random intercept model in th...

This study aimed at determining the drivers of access to credit among smallholder farmers in Uganda. Using a cross-sectional survey, data were collected from 374 Jinja district, followed by analysis using descriptive statistics and Binary logistic regression model. Additionally, we used Chi-square t-test compare with without credit. The results showed that 62.83% had generally better off than t...

Standard inference techniques are only valid if the design is ignorable. Two approaches that take the design into account are compared using binary logistic regression. The modelbased approach includes relevant design variables as independents and the designbased approach use design weights. The approaches are exemplified using a cross-sectional stratified mail survey, where associations betwee...

We develop statistical methods for phylogenetic logistic regression in which the dependent variable is binary (0 or 1) and values are nonindependent among species, with phylogenetically related species tending to have the same value of the dependent variable. The methods are based on an evolutionary model of binary traits in which trait values switch between 0 and 1 as species evolve up a phylo...