SPSS On-Line Training Workshop

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Carl Lee
Felix Famoye

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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:
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Survival  Analysis

Source of Data:
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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:

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SurvialTime: The survival time in days after the treatment

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Censored: An indicator variable

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0: complete uncensored case

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1: stands for censored case

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

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Age: Patientís age at diagnosis

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

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TumorType: Tumor types

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Squamous

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Small

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Adeno

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Large

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Treatment: Two levels of treatment

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Standard treatment

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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

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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.