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