The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Parametric regression imputation is efficient but is not robust against misspecification of the regression model. Although nonparametric regression imputation (such as nearest-neighbor imputation and ...

We develop a new multiple imputation approach for M-regression models with censored covariates. Instead of specifying parametric likelihoods, our method imputes the censored covariates by their ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

Using Kalman equations, we derive straightforward formulas for the total imputation variance for several imputation methods commonly used in regression analysis and (un)equal probability sampling ...

Large-scale epigenomic profiles are predicted from experimental data using multiple regression tree models. With hundreds of epigenomic maps, the opportunity arises to exploit the correlated ...

Recent study focused on predicting short birth intervals (defined as less than 33 months) among reproductive-age women in ...