Survival Analysis in Medical Studies
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.
2 views • 28 slides
Survival Analysis: Concepts and Techniques
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
4 views • 30 slides
Inverse Probability Weights in Epidemiological Analyses
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
1 views • 25 slides
Democracy
The relation between jumps and six explanatory variables is analyzed in the main case with N=649. The relationship between jumps and T is almost linear, while the relation with y shows no clear pattern. Additionally, jumps and g exhibit the same-year growth with a +10% censoring, and jumps and g5 re
0 views • 32 slides