Age-adjusted survival curves with application in the Framingham Study.
Kaplan-Meier curves provide descriptors of survival information for different subgroups within a data set. Investigators frequently use these figures for descriptive comparison of the effect of a particular measure upon survival. When subjects enter a study at different ages and age is associated with survival, it is often desirable to adjust survival information for age differences in the subgroups. This report discusses several methods for age-adjustment of survival curves, including direct age-adjustment and proportional hazard modelling with age as a covariate.
D000328:Adult; D000367:Age Factors; D000368:Aged; D001835:Body Weight; D002423:Cause of Death; D003327:Coronary Disease / Q000401:mortality* / Q000517:prevention & control; D003627:Data Interpretation, Statistical; D005500:Follow-Up Studies; D006801:Humans; D008297:Male; D008875:Middle Aged; D016016:Proportional Hazards Models; D012306:Risk; D016019:Survival Analysis