Primary and secondary outcome measures The primary outcome was tracheal injury score, assessed via fibreoptic bronchoscopy for hyperaemia, ischaemia, ulcers and perforation. Lesions were classified as ...

Battery performance datasets are typically non-normal and multicollinear. Extrapolating such datasets for model predictions needs attention to such characteristics. This study explores the impact of ...

The problem of assessing influence and detecting influential cases in multiple linear regression with incomplete data is considered. A case is said to be influential if appreciable changes in fitted ...

A Python code for data analysis and salary predictions using a multiple linear regression model. The code calculates the intercept and coefficients of the model and makes predictions on sample data.

This paper presents short term load forecasting using multi-variable linear regression (MLR) for big data. Load forecasting is very important for planning, operation, resource scheduling and so on in ...

The basic method for data mining is prediction. The method proposed in this dissertation will use multiple linear regression model combined with Gray Prediction to research to achieve processing ...

From the healthy control data, we developed regression-based norms incorporating race, age, education and sex. We then applied existing discrete norms and regression-based norms for the cognitive ...