Table 5

Regression Equations for Lung Cancer: Independent and
Dependent Variables


 Model


Variables 1 2 3 4


Independent
 Age + + + +
 Stage + + + +
 Histology + +
 Initial treatment + + + +
 Subsequent treatment + + + +
 Stage x Treatment + +

Dependent
 Log survival + + +


evaluation of the overall significance of the prediction

equation, the value of R the values of 2 for the partial

regression coefficients, and the number of independent

variables in the regression coefficients, and the number of

independent variables in the equation were used to select one

equation for use in predicting the survival of the lung

cancer patients interviewed for the psychosocial analysis.

 The regression equations were tested for the breast

cancer cases. The variables used in these equations are

summarized in Table 6.

 The equations included only main effects of the

independent variables being tested. An evaluation of the

equations as reported for the lung cancer cases was used