Premium
A Mixed Modelling Approach for Randomized Experiments with Repeated Measures
Author(s) -
Piepho H. P.,
Büchse A.,
Richter C.
Publication year - 2004
Publication title -
journal of agronomy and crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.095
H-Index - 74
eISSN - 1439-037X
pISSN - 0931-2250
DOI - 10.1111/j.1439-037x.2004.00097.x
Subject(s) - mixed model , task (project management) , repeated measures design , randomization , computer science , statistics , econometrics , mathematics , randomized controlled trial , engineering , medicine , surgery , systems engineering
Repeated measurements on the same experimental unit are common in plant research. Due to lack of randomization and the serial ordering of observations on the same unit, such data give rise to correlations, which need to be accounted for in statistical analysis. Mixed modelling provides a flexible framework for this task. The present paper proposes a general method to formulate mixed models for designed experiments with repeated measurements. The approach is exemplified by way of several examples.