From: Nick Holford <*n.holford*>

Date: Thu, 08 Oct 2009 07:56:14 -0400

Tianli,

Your data sounds like it could be described by a survival analysis. A

time to event model will give you the survivor function i.e. the prob of

not having had the event as a function of time. The event in your case

is defined by the 'certain PD score'. The censoring will of course be

taken care of by a typical survival analysis.

Nick

wangx826

*> Dear NMUsers,
*

*>
*

*> I am modeling ordered-categorical PD data versus time, but since the
*

*> clinical trial is ongoing, I don't currently have complete data set
*

*> for each subject. In other words, for some subjects, I have 1 year's
*

*> PD data, but for some others, I can only collect PD data for 1 month.
*

*> For the 1 month's case, it is like missing data for the rest of time.
*

*> But I need to consider time course of the proportion of subjects who
*

*> got a certain PD score. In my case, if I use the general logistic
*

*> regression model to fit the relationship between time and proportions
*

*> of event, would there be any problem? If so, how can I avoid it? Or
*

*> need I consider censoring like survival analysis?
*

*>
*

*> Any suggestion would be appreciated very much.
*

*>
*

*> Thanks in advance,
*

*> Tianli
*

*> *****************************************************************
*

*> Tianli Wang
*

*> University of Minnesota
*

--

Nick Holford, Professor Clinical Pharmacology

Dept Pharmacology & Clinical Pharmacology

University of Auckland, 85 Park Rd, Private Bag 92019, Auckland, New Zealand

n.holford

mobile: +64 21 46 23 53

http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford

Received on Thu Oct 08 2009 - 07:56:14 EDT

Date: Thu, 08 Oct 2009 07:56:14 -0400

Tianli,

Your data sounds like it could be described by a survival analysis. A

time to event model will give you the survivor function i.e. the prob of

not having had the event as a function of time. The event in your case

is defined by the 'certain PD score'. The censoring will of course be

taken care of by a typical survival analysis.

Nick

wangx826

--

Nick Holford, Professor Clinical Pharmacology

Dept Pharmacology & Clinical Pharmacology

University of Auckland, 85 Park Rd, Private Bag 92019, Auckland, New Zealand

n.holford

mobile: +64 21 46 23 53

http://www.fmhs.auckland.ac.nz/sms/pharmacology/holford

Received on Thu Oct 08 2009 - 07:56:14 EDT