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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 ...
The role of megafaunal exploitation in early human evolution remains debated. Occasional use of large carcasses by early hominins has been considered by some as opportunistic, possibly a fallback ...
The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...
Abstract: Heavy rainfall prediction is crucial for various applications such as flood forecasting, water resource management, and agriculture. In this study, we propose a multi linear regression ...
Abstract: The least squares (LS) estimate is the archetypical solution of linear regression problems. The asymptotic Gaussianity of the scaled LS error is often used ...
Objective: This study aimed to explore the potential classification and influencing factors of post-traumatic stress disorder (PTSD) in intensive care unit (ICU) patients receiving mechanical ...
Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
The Green Bay Packers defense has kept opposing offenses under 20 points in four of their five games so far this season, but at times they have failed to slam the door in the second half. Of the 102 ...
Objective: To describe the social participation of young and middle-aged patients with myasthenia gravis and explore the main influences to provide a basis for improving social participation behavior.
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