Many response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after treated with ...
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How to run R-style linear regressions in Python the easy way
If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Environmental epidemiologists often encounter time series data in the form of discrete or other nonnormal outcomes; for example, in modeling the relationship between air pollution and hospital ...
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