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Calcimator

Survival Analysis Calculator

Estimate Kaplan-Meier survival probabilities over four time periods given events and censored observations.

Inputs

Results

Survival Probability at T=1

0.95

Survival Probability at T=4

0.62

Survival Probability at T=20.87
Survival Probability at T=30.74
Total Events35
Total Censored15
Median Survival Period (-1 if not reached)-1
How to Use This Calculator
  1. Enter Total Subjects at Start, Events at Time 1, and Censored at Time 1.
  2. Set Events at Time 2, Censored at Time 2, and Events at Time 3.
  3. Adjust Censored at Time 3, Events at Time 4 as needed.
  4. Review Survival Probability at T=1 and Survival Probability at T=4.
  5. Use Survival Probability at T=2 and Survival Probability at T=3 to inform your decision.

What each input means

Total Subjects at Start
Total number of subjects at the beginning of the study.
Events at Time 1
Number of events (e.g., deaths, failures) occurring during period 1.
Censored at Time 1
Number of subjects lost to follow-up or withdrawn during period 1.
Events at Time 2
Number of events occurring during period 2.
Censored at Time 2
Number of subjects censored during period 2.
Events at Time 3
Number of events occurring during period 3.
Censored at Time 3
Number of subjects censored during period 3.
Events at Time 4
Number of events occurring during period 4.
Censored at Time 4
Number of subjects censored during period 4.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Total Subjects at Start = 100, Events at Time 1 = 5, Censored at Time 1 = 3, Events at Time 2 = 8 = 9 input(s) provided
  2. Calculate Survival Probability at T=1
    0.95 = 0.95
  3. Calculate Survival Probability at T=4
    0.6203 = 0.6203
  4. Calculate Survival Probability at T=2
    0.8674 = 0.8674
  5. Calculate Survival Probability at T=3
    0.7373 = 0.7373

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators.

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