Regression without regrets -initial data analysis is a prerequisite for multivariable regression.

ABSTRACT: Statistical regression models are used for predicting outcomes based on the values of some predictor variables or for describing the association of an outcome with predictors. With a data set at hand, a regression model can be easily fit with standard software packages. This bears the risk that data analysts may rush to perform sophisticated analyses without sufficient knowledge of basic properties, associations in and errors of their data, leading to wrong interpretation and presentation of the modeling results that lacks clarity. Ignorance about special features of the data such as redundancies or particular distributions may even invalidate the chosen analysis strategy. Initial data analysis (IDA) is prerequisite to regression analyses as it provides knowledge about the data needed to c

SUBMITTER: Heinze G 

PROVIDER: S-EPMC11308558 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature