Real-time survival analysis tool for medical research and statistics
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The Kaplan-Meier estimator, also known as the product-limit estimator, is a non-parametric statistic used to estimate the survival function from lifetime data. In medical research, it's commonly used to measure the fraction of patients living for a certain amount of time after treatment. This calculator provides real-time Kaplan-Meier survival analysis with multiple advanced functionalities.
1. Input Patient Data: Enter the time-to-event data for each patient. You can manually add patients using the "Add Patient" button or generate sample data for demonstration.
2. Specify Event Type: Mark whether the event (e.g., death, recurrence) occurred (Event = 1) or the observation was censored (Event = 0).
3. Assign Groups: Assign patients to different groups (like treatment vs control) to compare survival curves.
4. Calculate: Click "Calculate Survival Curve" to generate the Kaplan-Meier plot and statistics in real-time.
5. Interpret Results: Review the survival probabilities, median survival time, and group comparison statistics.
Censoring: Occurs when we don't know the exact time of event for some patients, often because they dropped out of the study or the study ended before the event occurred.
Survival Function S(t): The probability that a patient survives longer than time t.
Hazard Function: The instantaneous risk of experiencing the event at time t, given survival up to that time.
Log-Rank Test: A statistical test to compare survival distributions between two or more groups.
Kaplan-Meier survival analysis is extensively used in clinical trials, cancer research, epidemiology, and many other fields of medical research. It helps researchers understand treatment effectiveness, disease progression, and prognostic factors. This tool provides all essential functionalities including real-time calculation, group comparison, confidence intervals, and export options for research publications.