Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: pk analysis suite: elementary questions about -pkequiv-, -pkcross-, and -pkshape-


From   "Airey, David C" <david.airey@Vanderbilt.Edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   Re: st: pk analysis suite: elementary questions about -pkequiv-, -pkcross-, and -pkshape-
Date   Sat, 20 Feb 2010 11:32:09 -0600

.

I thought carryover effects are salient whenever there are repeated measures in a designed experiment. You should worry that giving a person treatment#1 will change the person such that giving treatment#2 to the same person will not be the same as giving treatment 2 to the same person, previously untreated. So the order in which you give multiple treatments to the same person should be designed at least, and also modeled if possible. Any text on general experimental design should address this problem; there are a couple in the Stata book store. George Cassella's new text, Statistical Design (2008) might be a good alternative to Winer et al. (http://www.stata.com/bookstore/sped.html, out of print!)


> 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?



*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index