section, Psychosocial Analysis, includes the results of the

prediction of survival for the 30 individuals who were inter-

viewed and the calculation of a survival quotient for each.

The report of findings regarding the relationship between

psychosocial variables and survival follows this. The

section concludes with the results of the analysis pertaining

to the influence of disease variables on psychosocial status.



 Determining Survival Expectations



 The linear regression equations used to predict the

survival of the individuals who were interviewed were

developed from separate sets of data on patients with cancer

of the lung, breast, and rectocolon. The findings of these

analyses are, therefore, presented in sections for each of

the three cancer sites.

Lung Cancer

 The first step in the development of a regression equa-

tion for the prediction of survival of the 12 lung cancer

patients entailed two exploratory regression analyses using

general linear models. In the first, the main effects of

seven biological, medical, and disease variables were used to

predict survival. In the second, the main effects of the

independent variables and selected interaction effects were

studied.