The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Mixed Modelling Approach for Randomized Experiments with Repeated Measures
Abstract
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.
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Citations
Cites
Small sample inference for fixed effects from restricted maximum likelihood
Kenward, M. G., & Roger, J. H. (1997) · Biometrics · doi:10.2307/2533558 · Cited by 4,552 · cited 3×
“Once a suitable correlation structure has been identified, inference for fixed effects may be based on the Kenward and Roger (1997) method.”
MethodInfluentialBurnham, K. P., & Anderson, D. R. (1998) · doi:10.1007/978-1-4757-2917-7 · Cited by 3,387
An Extension of Box's Results on the Use of the $F$ Distribution in Multivariate Analysis
Geisser, S., & Greenhouse, S. W. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706545 · Cited by 1,098
Accounting for natural and extraneous variation in the analysis of field experiments
Gilmour, A. R., Cullis, B. R., Verbyla, A. P., & Verbyla, A. P. (1997) · Journal of Agricultural, Biological, and Environmental Statistics · doi:10.2307/1400446 · Cited by 752
Cited by
Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring
Virlet, N., Sabermanesh, K., Sadeghi-Tehran, P., & Hawkesford, M. J. (2016) · Functional Plant Biology · doi:10.1071/fp16163 · Cited by 382
Phytolith transport in soil: A field study using fluorescent labelling
Fishkis, O., Ingwersen, J., Lamers, M., Denysenko, D., & Streck, T. (2010) · Geoderma · doi:10.1016/j.geoderma.2010.03.012 · Cited by 100
Brien, C. J., & Bailey, R. A. (2006) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2006.00557.x · Cited by 56
Metadata
- Authors
- Piepho, H. P., Büchse, A., & Richter, C.
- Venue
- Journal of Agronomy and Crop Science
- Publisher
- Wiley
- Published
- 2004-07-26
- Volume
- 190
- Issue
- 4
- Pages
- 230-247
- ISSN
- 0931-2250 (ISSN-L)
- 1439-037X
- OpenAlex
- W2036909023
- Cited by
- 196
- References
- 4
- FWCI
- 5.90
- Type
- journal article
- Language
- en
- Open access
- closed
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- Piepho, H. P., Büchse, A., & Richter, C. (2004). A Mixed Modelling Approach for Randomized Experiments with Repeated Measures. Journal of Agronomy and Crop Science. https://doi.org/10.1111/j.1439-037x.2004.00097.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
