From: kathy mutambanengwe on
i have 100 subjects with repeated measurements at unbalanced time
points, some start at time 0 some at time 1.1 etc. and not all
subjects were measured at same time points. How do i find the area
under the curve for each subject with a baseline response value which
is negative ie -10?
From: xlr82sas on
On Feb 28, 2:41 pm, kathy mutambanengwe <chenjerai...(a)gmail.com>
wrote:
> i have 100 subjects with repeated measurements at unbalanced time
> points, some start at time 0 some at time 1.1 etc. and not all
> subjects were measured at same time points. How do i find the area
> under the curve for each subject with a baseline response value which
> is negative ie -10?

Hi,

I think the best method is to use 'proc expand' in ETS. If you
don't have ETS.

R package PK

http://tiny.cc/0HUaY

PK is a basic pharmacokinetics package providing functions to aid in
non-compartmental analysis (Gibaldi and Perrier,1982) of PK data. This
package includes a function, AUC(), to calculate area under the curve,
and the area under the first moment curve and two new functions
auc.ssd() and eqv.sdd() for estimating and comparing AUCs in the case
of serial sampling. It also includes functions for half-life
estimation for a biexponential model, biexp(), and a two phase linear
regression, lee() as well as an associated plot function,
plot.halflife().


From: xlr82sas on
On Feb 28, 6:15 pm, xlr82sas <xlr82...(a)aol.com> wrote:
> On Feb 28, 2:41 pm, kathy mutambanengwe <chenjerai...(a)gmail.com>
> wrote:
>
> > i have 100 subjects with repeated measurements at unbalanced time
> > points, some start at time 0 some at time 1.1 etc. and not all
> > subjects were measured at same time points. How do i find the area
> > under the curve for each subject with a baseline response value which
> > is negative ie -10?
>
> Hi,
>
>   I think the best method is to use 'proc expand'  in  ETS. If you
> don't have ETS.
>
> R package PK
>
> http://tiny.cc/0HUaY
>
> PK is a basic pharmacokinetics package providing functions to aid in
> non-compartmental analysis (Gibaldi and Perrier,1982) of PK data. This
> package includes a function, AUC(), to calculate area under the curve,
> and the area under the first moment curve and two new functions
> auc.ssd() and eqv.sdd() for estimating and comparing AUCs in the case
> of serial sampling. It also includes functions for half-life
> estimation for a biexponential model, biexp(), and a two phase linear
> regression, lee() as well as an associated plot function,
> plot.halflife().

Another note:

I think R and SAS-IML may have primitives to get AUC