SPSS On-Line Training Workshop

HOME Table of Contents Data Editor Window Syntax  Editor Window Link to Contact-Us

Carl Lee
Felix Famoye
About Us 

Chart Editor Window Output Window  Overview of Data Analysis Manipulation of Data
Analysis of Data Projects & Data Sets Integrate R into SPSS  

Project Using Lung Cancer Data

Project:

The Lung Cancer data set is used for various analyses in this online training workshop, which includes:
bullet

Survival  Analysis

Source of Data:
bullet

Lawless, J.F. 1983, p.287 (Table 6.3.1), Statistical Models and Methods for Lifetime Data.

Description of Data:

The data consists of data on 40 lung cancer patients  used to compare the the effect of two chemotherapy treatment in prolonging survival time.
Variables in the data set are:

bullet

SurvialTime: The survival time in days after the treatment

bullet

Censored: An indicator variable

bullet

0: complete uncensored case

bullet

1: stands for censored case

bullet

Med_cond: the general medical condition at diagnosis of lung cancer on a scale of 0 to 100

bullet

Age: Patient’s age at diagnosis

bullet

Time_diag_study: Number of days between diagnosis of lung case and treatment

bullet

TumorType: Tumor types

bullet

Squamous

bullet

Small

bullet

Adeno

bullet

Large

bullet

Treatment: Two levels of treatment

bullet

Standard treatment

bullet

Experimental treatment

The following is the Variable View in SPSS:

Data sets for downloading: Lung Cancer.sav        Lung Cancer.xls       

Analysis of Data:

Click on the following movie clips to learn how to perform Cox regression analysis:

camera.gif (1225 bytes) Click here to watch Cox Regression Model

Go Back to Projects and Data Sets Page

horizontal rule

Navigation for Home, Tutorials and Contact Us

This online SPSS Training Workshop is developed by Dr Carl Lee, Dr Felix Famoye , student assistants Barbara Shelden and Albert Brown , Department of Mathematics, Central Michigan  University. All rights reserved.