The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 24, No. 2 (Jun., 1996), pp. 177-192 (16 pages) Liang and Zeger (1986) introduced a class of estimating equations that ...

All of the models we have been considering up to this point have assumed that the response (i.e. dependent) variable we are measuring is **continuous** and numeric. However, there are many cases in ...

Objective: Childhood morbidities are crucial for improving long-term public health outcomes. This study aimed to examine the existence of child-specific and regional variation in childhood morbidity ...

Bayesian variable selection has gained much empirical success recently in a variety of applications when the number K of explanatory variables $(x_{1},\ldots ,x_{K})$ is possibly much larger than the ...

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.

Keywords: Statistical analyses. Regression models. Post-earthquake ignitions. Data analyses. California. Ground shaking. Generalized linear mixed models. Goodness-of ...