Background. Previously, nonparametric or semiparametric methods have b
een used to determine the relationship of various prognostic covariate
s with survival of skin cancer. Unfortunately, these methods do not re
adily distinguish between factors that modulate cure and those that mo
dulate survival time among uncured patients. Methods. The multivariate
lognormal model can be used to detect the association of cured fracti
on and median survival time with specific prognostic covariates. This
model was applied to survival data from 2004 patients with skin melano
ma using the following prognostic covariates: thickness, site, and his
tologic type of the tumor and sex and age of the patient. Results. Thi
s analysis revealed that a low cured fraction was associated with thic
k lesions and location other than trunk or extremity, whereas a short
median survival time was associated with thick lesions and tumor locat
ed on the trunk. Advanced age was highly associated only with short me
dian survival time. Conclusion. The lognormal survival model offers in
sight into the biology of skin melanoma by distinguishing the roles pl
ayed by likelihood of cure and survival time. The differential associa
tions of various covariates with these two parameters suggest that bio
logic mechanisms that govern cure are not identical to those that gove
rn survival time.