including gamma regression models appropriate for right skewed responses; logistic regression appropriate for categorical responses; and log-linear models appropriate for discrete responses (counts).

📂 Codes ├── data_for_linearregression_tamrin.mat ├── Neural_Network_Model.m ├── RegressionModel2.m 📂 Images ├── 📂 Neural_Network ...

The course gives an overview over important models and techniques for regression analysis outside standard linear regression. In particular, the students will learn how to extend the linear model for ...

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Methods Whole genome mRNA profiling was performed on lung tissue samples (n=1197) and differential gene expression with increasing age was analysed using an adjusted linear regression model.

Aims Previous studies have suggested an association between retinal artery occlusion (RAO) and ischaemic stroke (IS), both associated with elevated inflammatory factors. However, the role of ...

Estimated geographical and temporal distribution of lung-cancer incidence varied across the four main subtypes worldwide. Our ...