In this chapter, we propose a log-linear model for the biases observed when analyzing model communities data. Our model expands the recent work from McLaren, Willis and Callahan (MWC) [eLife, 8:e46923 ...

Log-Linear Model Analysis When the response functions are the default generalized logits, then inclusion of the keyword _RESPONSE_ in every effect in the right-hand side of the MODEL statement induces ...

Generalised estimation equations (GEE) ... A log-linear model was fitted to predict the number of heroin abusers in Malta given the number of addiction relapses.

This is a preview. Log in through your library . Abstract For the parameters of a multinomial logistic regression, it is shown how to obtain the bias-reducing penalized maximum likelihood estimator by ...

Journal of Human Genetics - Log-linear models for assessing gene–age interaction and their application to case-control studies of the apolipoprotein E (apoE) gene in Alzheimer's disease.

Abstract. We present a novel semiparametric survival model with a log-linear median regression function. As a useful alternative to existing semiparametric models, our large model class has many ...

Course TopicsStructural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis ...