Kaplan Meier Survival plot, survival analysis in STATA
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- Опубліковано 14 жов 2024
- Survival analysis
Time-to-event analysis
Duration analysis
Analyse the duration of time until event occurs
called
Survival times
Duration times.
Events:
Death
Cured from disease
Finding job
Bankrupt
Getting disease
Censoring
Incomplete
Study follow-up ends
Drop out of study
Emigration
Survival data
Two variable
Time variable
From beginning of study to death or end of study
Event variable
1=failed/event
0=censored
Survival analysis variables
Follow up time
Years
Months
Weeks/days
Outcome
Death
Independent variables
Age
Sex
Drug
Kaplan-Meier survival curve
Non-parametric method
Kaplan Meier method estimates cumulative probability (%) for event at time point
Survival probability as a function of time.
Estimates are presented by constructing a Kaplan Meier plot
X-axis the time
Y-axis probability
Determine median
Log rank test
Compare survival curves
Non-parametric test
H0: Survival time between two groups are similar
HA: Survival time between two groups are different
This was very helpful for my research ❤
Thank you! I am trying to do a survival analysis about a health event occurring after my baseline time (during a 5 year follow-up). So i command "stset eventdate, fail(event) id(lopnr) enter(beskdate) scale(365.25)" but the first entry time is 56 instead of 0. Why is that? All the dates are in stata format and defined as days.