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 ...

Model the data as a log-linear model with (the Poisson variance function) and where Y ij = number of epileptic seizures in interval j; t ij = length of interval j; The correlations between the counts ...

The logistic model and the log-linear model provide the same parametric description of disease risk: α 1t, β 1t, and γ 1t have exactly the same interpretations in both models. The log-linear ...

I figured that log scales were fine for communicating with other professionals, ... contrasted to 83.79% of respondents on the linear scale. Moreover, ...

Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...