I do not know what you mean by 'adjusted survival curve.'
I interpret your question to mean that you want to fit a sample of life data from two populations to a distribution model.
Please see Help > Books > Reliability and Survival > Chapter 3: Life Distribution for more details. See also other chapters for the Survival, Fit Parametric Survival, and Fit Proportional Hazards platforms in case you need such analyses.
Excuse me: I clarify the question. There are two groups of patients unbalanced by age: in one of them mostly young, in the other - mostly older. How to make adjusted (by age) Kaplan-Meier curves?
P.S. In any case: where is Compare Groups tab?
Do you want to compare the survival of the two groups, account for patient age (covariate), or both?
The Compare Groups tab is in the launch dialog for Life Distribution. You should see it as you followed my detailed instructions.
I would like to obtain Kaplan-Meier curves (for two groups), taking into account the method of which it is said: "Adjusted survival curves are often presented in medical research articles. The most commonly used method for calculating such curves is the mean of covariates method, in which average values of covariates are entered into a proportional hazards regression equation."
Please see Help > Books > Reliability and Survival > Chapter 15: Fit Proportional Hazards.
See also Help > Sample Data > Reliability/Survival > VA Lung Cancer data table. Run the saved Fit Proportional Hazards table script to see an example of the Baseline Survival at the Mean plot.