Turn on suggestions

Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.

Showing results for

- JMP User Community
- :
- Discussions
- :
- Smooth survival curve

- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Smooth survival curve

Jan 22, 2014 6:45 PM
(3032 views)

Hi all,

I am trying to do survival analysis on some data. Through few online tutorials I learnt to do it, however by default JMP gives a "chopped" or aliased survival curve, is there a way to get a smooth survival curve similar to logistic regression?

Thanks.

Mike.

2 REPLIES 2

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Smooth survival curve

Are you talking about the KM curve? That's the expected look of a KM curve, because it's a non-parametric model.

You could use a regression, and then plot the fitted on the mean if you wanted a smooth curve, but I have no idea how to do that in JMP.

Highlighted
##

- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Get Direct Link
- Email to a Friend
- Report Inappropriate Content

Re: Smooth survival curve

You can fit a distribution to your survival/failure data using the Life Distribution platform in JMP. It will allow you to fit many parametric distributions to censored (or uncensored) data. Distributions available include Lognormal, Weibull, Normal, Logistic, Exponential, among others.

Michael Crotty

Sr Statistical Writer

JMP Development

Sr Statistical Writer

JMP Development

Article Labels

There are no labels assigned to this post.