lung

Survival in patients with advanced lung cancer from the North Central Cancer Treatment Group. Performance scores rate how well the patient can perform usual daily activities.

datasets

Stepwise regression is a statistical technique used for model selection. This package streamlines stepwise regression analysis by supporting multiple regression types(linear, Cox, logistic, Poisson, Gamma, and negative binomial), incorporating popular selection strategies(forward, backward, bidirectional, and subset), 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. StepReg offers a data-splitting option to address potential issues with invalid statistical inference and a randomized forward selection option to avoid overfitting. 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

Sushmita N Nayak

Cesar Bautista Sotelo

Michael A Lodato

Wenxin Liu

Lihua Julie Zhu

lung function

A data frame containing 228 observations on 10 variables.<dl>
 <dt>inst</dt>
<dd>Institution code</dd> <dt>time</dt>
<dd>Survival time in days</dd> <dt>status</dt>
<dd>censoring status 1=censored, 2=dead</dd> <dt>age</dt>
<dd>Age in years</dd> <dt>sex</dt>
<dd>Male=1 Female=2</dd> <dt>ph.ecog</dt>
<dd>ECOG performance score as rated by the physician. 0=asymptomatic, 1= symptomatic but completely ambulatory, 2= in bed &lt; 50% of the day, 3= in bed &gt; 50% of the day but not bedbound, 4 = bedbound</dd> <dt>ph.karno</dt>
<dd>Karnofsky performance score (bad=0-good=100) rated by physician</dd> <dt>pat.karno</dt>
<dd>Karnofsky performance score as rated by patient</dd> <dt>meal.cal</dt>
<dd>Calories consumed at meals</dd> <dt>wt.loss</dt>
<dd>Weight loss in last six months (pounds)</dd>
</dl>

Format

NCCTG Lung Cancer Data — lung

A data frame containing 228 observations on 10 variables.<dl>
 <dt>inst</dt>
<dd>Institution code</dd>

 <dt>time</dt>
<dd>Survival time in days</dd>

 <dt>status</dt>
<dd>censoring status 1=censored, 2=dead</dd>

 <dt>age</dt>
<dd>Age in years</dd>

 <dt>sex</dt>
<dd>Male=1 Female=2</dd>

 <dt>ph.ecog</dt>
<dd>ECOG performance score as rated by the physician. 0=asymptomatic, 1= symptomatic but completely ambulatory, 2= in bed &lt; 50% of the day, 3= in bed &gt; 50% of the day but not bedbound, 4 = bedbound</dd>

 <dt>ph.karno</dt>
<dd>Karnofsky performance score (bad=0-good=100) rated by physician</dd>

 <dt>pat.karno</dt>
<dd>Karnofsky performance score as rated by patient</dd>

 <dt>meal.cal</dt>
<dd>Calories consumed at meals</dd>

 <dt>wt.loss</dt>
<dd>Weight loss in last six months (pounds)</dd>


</dl>

NCCTG Lung Cancer Data

lung: NCCTG Lung Cancer Data

Description

Usage

Arguments

Format

References

See Also

Examples