JDS
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
QUICK SEARCH:   [advanced]


     

This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Interpretive Summary
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Kononoff, P. J.
Right arrow Articles by Hanford, K. J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Kononoff, P. J.
Right arrow Articles by Hanford, K. J.
J. Dairy Sci. 89:3968-3971
© American Dairy Science Association, 2006.

Technical Note: Estimating Statistical Power of Mixed Models Used in Dairy Nutrition Experiments1

P. J. Kononoff*,1 and K. J. Hanford*,{dagger}

* Department of Animal Science, and
{dagger} Department of Statistics, University of Nebraska, Lincoln 68583–0908

2 Corresponding author: pkononoff2{at}unl.edu

Statistical power is defined as the probability of correctly rejecting the null hypothesis. Power calculations may be useful in planning experiments. The objective of this technical note is to outline an applied method that estimates statistical power of a dairy nutrition experiment that employs a Latin square as the experimental design. Because the SAS MIXED procedure (PROC MIXED) is commonly used to analyze data sets, this note outlines basic programming procedures that may be used to estimate statistical power of a mixed model using this procedure.

Key Words: statistical power • Latin square • mixed model • SAS




This article has been cited by other articles:


Home page
 J DAIRY SCIHome page
J. M. Kelzer, P. J. Kononoff, A. M. Gehman, L. O. Tedeschi, K. Karges, and M. L. Gibson
Effects of feeding three types of corn-milling coproducts on milk production and ruminal fermentation of lactating Holstein cattle
J Dairy Sci, October 1, 2009; 92(10): 5120 - 5132.
[Abstract] [Full Text] [PDF]

Home page
 Professional Animal ScientistHome page
W. A. Griffin, T. J. Klopfenstein, G. E. Erickson, D. M. Feuz, K. J. Vander Pol, and M. A. Greenquist
Effect of Sorting and Optaflexx Supplementation on Feedlot Performance and Profitability of Long Yearling Steers
Professional Animal Scientist, June 1, 2009; 25(3): 273 - 282.
[Abstract] [PDF]

Home page
 J DAIRY SCIHome page
R. J. Tempelman
Invited review: Assessing experimental designs for research conducted on commercial dairies
J Dairy Sci, January 1, 2009; 92(1): 1 - 15.
[Abstract] [Full Text] [PDF]

Home page
 J DAIRY SCIHome page
A. M. Gehman, P. J. Kononoff, C. R. Mullins, and B. N. Janicek
Evaluation of Nitrogen Utilization and the Effects of Monensin in Dairy Cows Fed Brown Midrib Corn Silage
J Dairy Sci, January 1, 2008; 91(1): 288 - 300.
[Abstract] [Full Text] [PDF]

Home page
 J ANIM SCIHome page
A. L. Van Eenennaam, J. Li, R. M. Thallman, R. L. Quaas, M. E. Dikeman, C. A. Gill, D. E. Franke, and M. G. Thomas
Validation of commercial DNA tests for quantitative beef quality traits
J Anim Sci, April 1, 2007; 85(4): 891 - 900.
[Abstract] [Full Text] [PDF]


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Copyright © 2006 by the American Dairy Science Association ®.