On Thu, 11 Jun 2009 17:54:35 -0400, Isabelle-Anne Bisson <[email protected]> wrote:
>Fellow Eco-loggers, > >I would greatly appreciate your input on a statistical question that I >have. My study design is as follows: > >Four subjects receive NO treatment on day 1 and a treatment on day 2. The >treatment is of 4 hours. I take a measurement (e.g., blood pressure) every >minute for each subject on both days. I would like to test for the effect >of treatment while taking into account change over time. Are 'linear mixed >models' analyses appropriate for this type of data set? > Without seeing the data, it is always a guess.....but I think yes. See Chapter 6 in: Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 for similar examples and R code. Alain ----------------------------------------------- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. URL: www.springer.com/0-387-45967-7 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. http://www.springer.com/life+sci/ecology/book/978-0-387-87457-9 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer Other books: http://www.brodgar.com/books.htm Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Tel: 0044 1358 788177 Email: [email protected] URL: www.highstat.com URL: www.brodgar.com
