The core of the Python data model architecture is special methods (also known as "magic methods"). These methods, which start ...

The core of the Python data model architecture is the special methods (also known as 'magic methods'). These methods, which ...

Missing data is a major issue in many applied problems, especially in the biomedical sciences. We review four common approaches for inference in generalized linear models (GLMs) with missing covariate ...

Stuart R. Lipsitz, Methods for Estimating the Parameters of a Linear Model for Ordered Categorical Data, Biometrics, Vol. 48, No. 1 (Mar., 1992), pp. 271-281 ...

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