Conditions for survival analysis
Reasons for censoring
• Leaves the studio (lost to follow-up)
• Withdrawn from the study
• Event for competitive cause
Non-informative censoring
If subjects could be followed beyond the point in time when they are censored, they would have the same rate of outcome as those not censored on that time
Informative censoring
Cumulative survival
Cumulative survival
Median survival time
Cumulative survival
STATA FOR SURVIVAL ANALYSIS
STATA GRAPHS FOR SURVIVAL ANALYSIS
STATA SURVIVAL ANALYSIS (calendar time and age as an important variable)
Between groups comparison of cumulative survival