remission

<p>A dataset containing the remission and 6 risk factors thought to be related to leukemia remission.</p>

datasets

Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types, incorporating popular selection strategies, and offering essential metrics. It enables users to apply multiple selection strategies and metrics in a single function call, visualize variable selection processes, and export results in various formats. However, StepReg should not be used for statistical inference unless the variable selection process is explicitly accounted for, as it can compromise the validity of the results. This limitation does not apply when StepReg is used for prediction purposes. We validated StepReg's accuracy using public datasets within the SAS software environment. Additionally, StepReg features an interactive Shiny application to enhance usability and accessibility.

Junhui Li

StepReg

Stepwise Regression Analysis

Kai Hu

Xiaohuan Lu

Kun Cheng

Sushmita N Nayak

Cesar Bautista Sotelo

Michael A Lodato

Wenxin Liu

Lihua Julie Zhu

remission function

<p>A data frame with 27 rows and 7 columns.</p>

Format

remission — remission

remission: remission

Description

Usage

Arguments

Format

Details

References