GraphPad Prism - Survival (Kaplan-Meier) Curves

TL;DR

This tutorial demonstrates how to generate survival curves in GraphPad Prism using a fictional survival experiment dataset.

Transcript

hi this is a very quick tutorial looking at the generation of survival Curves in graphpad prism I've got prism version 6 on the screen here I think 6.03 and we've got a little Excel spreadsheet here in the middle of the window just showing us some fictitious data from a survival experiment U we've been monitoring these subjects for 5 days it could ... Read More

Key Insights

• 🔨 GraphPad Prism is a powerful tool for generating survival curves from experimental data.
• 😚 Survival curves can be created by entering the number of survivors and lost subjects for each day.
• 😥 Censoring points are crucial for accurately representing survival rates in these curves.
• 👻 Customization options in GraphPad Prism allow for visually appealing survival curve presentations.
• 🆘 Curve comparison analysis helps determine the statistical significance between different survival curves.
• ❓ The tutorial emphasizes the simplicity and elegance of generating survival curves in GraphPad Prism.
• 👥 A small sample size in the provided dataset does not yield statistically significant differences between the two groups.

Questions & Answers

Q: How do you enter the data for survival curves in GraphPad Prism?

To enter the data, you need to specify the two groups, mark the survivors for each day, and record the days at which subjects are lost from the study. This allows Prism to generate accurate survival curves.

Q: What is the significance of censoring points in survival curve analysis?

Censoring points are used to account for subjects that are still surviving at the end of the study. These points are marked as zero in the Y column and are essential for accurately representing the survival rates over time.

Q: Can you customize the appearance of the survival curve graph in GraphPad Prism?

Yes, you can customize the graph by changing colors, adjusting axis settings, and hiding symbols. This allows you to create a visually appealing and informative survival curve for your data.

Q: How can you compare the survival curves of different groups in GraphPad Prism?

In GraphPad Prism, you can use the curve comparison feature to determine if two survival curves are significantly different. The tutorial shows an example using the chi-square test, which gives a p-value of 0.2, indicating no significant difference between the two groups in the fictitious dataset.

Summary & Key Takeaways

• The tutorial showcases the process of creating survival curves in GraphPad Prism.

• A fictional survival experiment dataset is used, with two groups (Group A and Group B) and their respective survival rates over time.

• The tutorial covers data entry, graph creation, and curve comparison for the two groups.