Kaplan-Meier survival analysis
Kaplan-Meier survival analysis
Epidemiology and population health
Composite health status indicators and measures of population impact
Disease surveillance, outbreak investigation, and communicable disease transmission
Measures of disease frequency
Measures of health status
Points of intervention
Survival analysis interpretation
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High Yield Notes
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Kaplan-Meier survival analysis
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Questions
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A researcher is studying the prognosis of patients diagnosed with pancreatic adenocarcinoma. Data points from 45 patients are obtained and used to generate the following Kaplan-Meier curve. The red line represents the survival curve, and the dashed lines represent the 95% confidence limits. Which of the following conclusions can be drawn from this figure?
Summary
Kaplan-Meier survival analysis is a statistical technique used to estimate the chance of survival (or failure) for a group of patients (or other objects) over time. It does this by partitioning the total time into intervals and computing the proportion of subjects who are still alive or still in the study at the end of each interval.