Kaplan Meier Survival plot, survival analysis in STATA

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  • Опубликовано: 8 сен 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

Комментарии • 2

  • @GravityMusicZmk
    @GravityMusicZmk 17 дней назад

    This was very helpful for my research ❤

  • @vagiapatsoukaki5693
    @vagiapatsoukaki5693 9 месяцев назад

    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.