Explore the key concepts of survival analysis, such as time-to-event data, censoring, and survivor functions. Learn how survival analysis methods estimate probabilities, compare survival rates between groups, and assess median survival times in medical research.

0 views • 28 slides

Survival analysis involves studying the time until an event of interest occurs, like death or relapse of a disease. It explores how different factors affect survival time and uses special methods for analysis. Censoring is a common issue where the exact endpoint time is unknown due to subjects being

0 views • 30 slides

In epidemiological analyses, inverse probability weights play a crucial role in addressing issues such as sampling, confounding, missingness, and censoring. By reshaping the data through up-weighting or down-weighting observations based on probabilities, biases can be mitigated effectively. Differen

0 views • 25 slides