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 ...

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, ...

GLMs unify other statistical models, including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models ...

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 ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...