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Re: st: pk analysis suite: elementary questions about -pkequiv-, -pkcross-, and -pkshape-
From 
 
Michael McCulloch <[email protected]> 
To 
 
[email protected] 
Subject 
 
Re: st: pk analysis suite: elementary questions about -pkequiv-, -pkcross-, and -pkshape- 
Date 
 
Fri, 19 Feb 2010 21:55:06 -0800 
Dear Joseph,
Thank you kindly for the very helpful response and example.
You write "the potential for carryover effects (by whatever name) to  
confound crossover studies
is often more serious with outcomes other than chemical  
concentrations." Might you be able to recommend some reading (either  
published or online tutorials) on this issue in crossover studies?
Best regards,
Michael McCulloch
On Feb 19, 2010, at 8:11 PM, Joseph Coveney wrote:
Michael McCulloch wrote:
I'm studying the manual (v11) for the pk suite, and have 3 questions:
1. Regarding the "carry" variable created by -pkshape-, in the manual
example (p. 1325), is "carry" simply an indicator that shows whether
or not a measurement was made in the same period/treatment
combination, so that if
	"carry"==0, then no carryover is possible, and if
	"carry"==A, then a carryover effect is possible, but no evidence yet?
2. Can -pkcross- be used in to compare treatment response (e.g. pain
score) in an AB-BA crossover study design, that was not a test of a
biopharmaceutical drug concentration?
3. -pkequiv- performs bioequivalence tests using serum levels of
biopharmaceutical drug concentration. Can the command also be used
instead to measure *any* continuous outcome, measured following some
other non-pharmaceutical intervention?
--------------------------------------------------------------------------------
1.  Carryover is a term that indicates what the treatment (drug  
formulation) was
in the immediately preceding period.  Carryover is zero during the  
first period;
afterward (where the potential for carryover effects is of concern)  
its pattern
distinguishes between sequences of first-through-penultimate  
treatments.  In the
two-sequence, two-formulation, two-period crossover design (i.e., AB  
BA), during
the second period it is 1 for one of the treatments and 2 for the  
other.  You
can get a handle on what it does by inspecting the variables -treat-  
and -carry-
after running the do-file below.
2.  There's no reason why not.  As far as I'm aware, -pkcross- is  
nothing but a
convenience command that calls -anova- and displays the ANOVA table  
in a format
more familiar to biopharmaceutics scientists.  Crossover study  
designs are not
unique to pharmaceutical equivalence evaluation.  And although the  
phenomenon is
called "carryover" in biopharmaceutics, you will have the same  
concern in other
disciplines, namely, that the first exposure to a condition might  
change things
so that a second exposure will result in a different score ("learning
phenomenon", "sensitization", "desensitization", "stimulus fatigue",  
"acquired
tolerance").
3.  Again, there is no reason not to:  the term *equivalence* has  
more general
usage than for drug concentrations in blood plasma.  Keep in mind  
that the
potential for carryover effects (by whatever name) to confound  
crossover studies
is often more serious with outcomes other than chemical  
concentrations.  And it
sometimes gets tricky even with the latter.
Joseph Coveney
clear *
set more off
set seed `=date("2010-02-20", "YMD")'
input str1 trt
"A"
"B"
"C"
end
tempfile tmpfil0
save `tmpfil0'
rename trt seq
forvalues replicate = 1/2 {
   cross using `tmpfil0'
   replace seq = seq + trt
   drop trt
}
erase `tmpfil0'
generate byte id = 3
expand id
sort seq
replace id = _n
forvalues per = 1/3 {
   generate byte period`per' = floor(runiform() * 100)
}
pkshape id seq period1 period2 period3
sort id period
order id sequence period treat carry outcome
list, noobs sepby(id)
exit
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Best wishes,
Michael McCulloch
Pine Street Foundation
124 Pine Street
San Anselmo, CA 94960-2674
tel:	415-407-1357
fax: 	206-338-2391
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