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 ...

1 Department of Hematology, The First Affiliated Hospital of Dalian Medical University, Dalian, China 2 Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian, China ...

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 ...

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 ...

The aim of the course is to make the participants familiar with advanced statistical regression methods applied to clinical research and epidemiology. This will give the participants a better basis ...

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 ...

Because of the extreme volatility of the non-adjusted weekly data, we can add a 52-week moving average to give a better sense ...