An analysis of patient responses to the CITAS and RINVR identified factors associated with taste alteration in patients with cancer treated with cisplatin.

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Analysts debate XRP’s $200 target. Regression models show statistical potential, but on-chain data, whale moves, market maturity point to $3–$27 instead.

There are many different techniques available to create a regression model. Some common techniques, listed from less complex to more complex, are: linear regression, linear lasso regression, linear ...

In traditional models like linear regression and ANOVA, assumptions such as linearity, independence of errors, homoscedasticity, and normality of residuals are foundational.

Statistical Analysis We used multilevel regression modeling to examine the impact of care coordination on 30-day outcomes and costs after adjusting for patient- and hospital-level covariates.

Silvia Montagna, Tor Wager, Lisa Feldman Barrett, Timothy D. Johnson, Thomas E. Nichols, Spatial Bayesian Latent Factor Regression Modeling of Coordinate-Based Meta-Analysis Data, Biometrics, Vol. 74, ...