Nonlinear Regression Modelling: A Primer with Applications and Caveats.

ABSTRACT: Use of nonlinear statistical methods and models are ubiquitous in scientific research. However, these methods may not be fully understood, and as demonstrated here, commonly-reported parameter p-values and confidence intervals may be inaccurate. The gentle introduction to nonlinear regression modelling and comprehensive illustrations given here provides applied researchers with the needed overview and tools to appreciate the nuances and breadth of these important methods. Since these methods build upon topics covered in first and second courses in applied statistics and predictive modelling, the target audience includes practitioners and students alike. To guide practitioners, we summarize, illustrate, develop, and extend nonlinear modelling methods, and underscore caveats of Wald statisti

SUBMITTER: O'Brien TE 

PROVIDER: S-EPMC10943168 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature