1 / 1

Analyzing Cox Survival Models in Clinical Trials with ISIR Data

This study explores the application of Cox proportional hazards models in analyzing survival data from clinical trials, specifically focusing on the ISIR dataset. By categorizing patients into survival groups based on their longevity (≤12 months and ≥12 months) and tracking changes over time, the research assesses how various factors influence survival rates. This analysis will enhance the understanding of survival outcomes and assist in developing tailored treatment strategies for better patient management.

willa
Télécharger la présentation

Analyzing Cox Survival Models in Clinical Trials with ISIR Data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Survival 110 100 90 80 70 60 50 40 30 20 10 0 0 1 2 3 Survival ISIR 110 100 90 80 70 60 50 40 30 20 10 0 -8 -7 -6 -5 -4 -3 -2 Cox ISIR 3 2 1 0 -8 -7 -6 -5 -4 -3 -2 Cox survival groups ≤ 12 < t < 60 ≥ t  12 t  60

More Related