Oliver Ott

Works (1)

Updated: July 5th, 2023 15:45

2012 journal article

Multivariate Mixed Linear Model Analysis of Longitudinal Data: An Information-Rich Statistical Technique for Analyzing Plant Disease Resistance

PHYTOPATHOLOGY, 102(11), 1016–1025.

By: Y. Veturi *, K. Kump n, E. Walsh n, O. Ott n, J. Poland  n, J. Kolkman  n, P. Balint-Kurti n , J. Holland n , R. Wisser

Contributors: Y. Veturi *, K. Kump n, E. Walsh n, O. Ott n, J. Poland  n, J. Kolkman  n, P. Balint-Kurti n , J. Holland n , R. Wisser

MeSH headings : Ascomycota / immunology; Ascomycota / physiology; Computer Simulation; Data Interpretation, Statistical; Disease Resistance; Genotype; Linear Models; Longitudinal Studies; Multivariate Analysis; Plant Diseases / immunology; Plant Diseases / microbiology; Research Design; Software; Zea mays / immunology; Zea mays / microbiology
TL;DR: To aid in the application of multivariate MLM analysis of longitudinal data on disease resistance, annotated program syntax for model fitting is provided for the software ASReml. (via Semantic Scholar)
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