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How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate correlation coefficient. If you look at the multiple regression we did, ...
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Saddlepoint Approximations of Marginal Densities and Confidence Intervals in the Logistic Regression Measurement Error Model

This is a preview. Log in through your library . Abstract We illustrate that the saddlepoint approximation can lead to accurate inference in the logistic regression ...
JSTOR Daily

Group bound: confidence intervals for groups of variables in sparse high dimensional regression without assumptions on the design

This is a preview. Log in through your library . Abstract It is in general challenging to provide confidence intervals for individual variables in high dimensional regression without making strict or ...