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 ...

No single person is to blame for Geno Smith's eight interceptions in those three games, or his league-high nine interceptions this season, though plenty of accountability has been flimsily nudged away ...

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 ...

Bayesian quantile regression and statistical modelling represent a growing paradigm in contemporary data analysis, extending conventional regression by estimating various conditional quantiles rather ...

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 ...

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 ...

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 ...

Let's talk about the Home Run Derby. Everyone seems to think that it really messes a player up, but I’m not so sure about that. I know a lot of people do not like math, but there is a thing called ...