When researchers verify the effects of genes or gene–environment interactions on common diseases or age-related diseases, such as diabetes, cancer, or coronary heart disease, they usually regard age ...

We propose an extension of graphical log-linear models to allow for symmetry constraints on some interaction parameters that represent homologous factors. The conditional independence structure of ...

A log-linear model for predicting magazine exposure distributions is developed and its parameters are estimated by the maximum likelihood technique. The log-linear model is compared empirically with ...

Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...

Citations: Blattberg, Robert. 1981. An Assessment of the Contribution of Log Linear Models to Marketing Research. Journal of Marketing. (2)89-97.