Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...
Kansas City Chiefs quarterback Patrick Mahomes had a historic 2018 season. This is not a radical opinion. In the history of the league, only one other second-year quarterback has put up the kind of ...
BACKGROUND The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health, and ...
Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used in ...
In the first paper in this series, 1 we presented important considerations in basic statistics and univariate analyses for studies involving outcomes of bone marrow transplantation. Regression or ...
This is a preview. Log in through your library . Abstract Nonlinear regression models are commonly used in toxicology and pharmacology. When fitting nonlinear models ...
Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
Recent work has demonstrated that some functional categories of the genome contribute disproportionately to the heritability of complex diseases. Here we analyze a broad set of functional elements, ...
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