rstats imputation bayesian missing-data glm survival linear-mixed-models glmm linear-regression-models jags generalized-linear-models missing-values joint-analysis imputations mcmc-sample ...

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 ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...

We develop a new linear-regression-based method for determining surface tension, γ, from interfacial curvature. Across a static fluid–fluid interface, γ is balanced by the difference in hydrostatic ...

Linear regression is a very simple machine learning model that is supposed to find linear relations between input and output data. Its use is limited since real-world random variables are almost never ...