Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu ...

There is a dose-response relationship between maternal body mass index (BMI) and perinatal ischemic stroke (PIS) risk ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of ...

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 ...

Background Wrong-drug medication errors are common. Regulators screen drug names for confusability, but screening methods ...

Methods We used multilevel linear regression to analyse variation in minor psychiatric morbidity over nine annual waves of the British Household Panel Survey (1996–2004). The sample was restricted to ...

Methods: Generalised linear Poisson regression models were used to investigate the relation between mortality and “dry bulb” and “wind chill” temperatures in the three largest Scottish cities (Glasgow ...

Methods Two hundred biopsies were scored. The outcome was the Global Visual Evaluation (GVE). Eight histological features were tested. The Nancy index was developed by multiple linear regression and ...