Cited by 116Statistical Methods and Bayesian InferenceSAS software applications and methodsOptimal Experimental Design Methods

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Analysis of Unbalanced Data by Mixed Linear Models Using the mixed Procedure of the SAS System

Spilke, J., Piepho, H. P., Hu, X.·2005·Journal of Agronomy and Crop Science

Abstract

Unbalanced data are a common problem in plant research based on designed experiments. Such data are often conveniently analysed using linear mixed models. Recent developments in mixed model theory have been implemented in major packages. This paper describes the use of the mixed procedure of the SAS System for the analysis of designed experiments. Special emphasis is given to the specification of options as depending on the assumed mixed model and on the unbalancedness in the data. In addition, we consider a compact representation of multiple comparisons for unbalanced data (letter display). Two small data sets are used to exemplify the methods.

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Crossref · 10.1111/j.1439-037x.2004.00120.x

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Research works printed but not linked: 14

  1. Ahrens H., 1967, Die Varianzanalyse, 10.1515/9783112595565 · DOI
  2. Cochran W., 1957, Experimental Designs
  3. Dörfel H., 1980, Mittelwertvergleiche in mehrfaktoriellen Versuchen bei signifikanten Wechselwirkungen, Archiv f. Acker- und Pflanzenbau, 24, 323
  4. 10.1080/00949659608811740 · DOI
  5. 10.2307/2530872 · DOI
  6. 10.1080/0003942031000136611 · DOI
  7. Hu X. 2002:Simulationsuntersuchungen zur Hypothesenprüfung über feste Effekte in gemischten linearen Modellen bei kleinen und unbalancierten Stichproben.Dissertation Martin‐Luther‐Universität Halle‐Wittenberg Germany.
  8. 10.2307/2685241 · DOI
  9. 10.1198/1061860043515 · DOI
  10. Piepho H. P., 1999, Anmerkungen zur Analyse balancierten gemischter Modelle mit der SAS‐Prozedur MIXED, Zeitschrift für Agrarinformatik, 7, 39
  11. Samuels M. L., 1991, Interpreting blocks as random factors (with discussion), J. Am. Stat. Assoc., 86, 798, 10.1080/01621459.1991.10475112 · DOI
  12. 10.1007/BF02288586 · DOI
  13. Spilke J., 2001, Simulationsuntersuchungen zum Einfluss verschiedener Strategien der Varianzkomponentenschätzung und Hypothesenprüfung auf die statistischen Risiken in gemischten linearen Modellen mit ungleicher Klassenbesetzung, Zeitschrift für Agrarinformatik, 10, 66
  14. 10.1046/j.1439-0523.2003.00964.x · DOI

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Metadata

Authors
Spilke, J., Piepho, H. P., & Hu, X.
Affiliations
University of Hohenheim (DE)
Corresponding author
  • Spilke, J.
  • Piepho, H. P.
  • Hu, X.
Venue
Journal of Agronomy and Crop Science
Publisher
Wiley
Published
2005-02
Volume
191
Issue
1
Pages
47-54
ISSN
  • 0931-2250 (ISSN-L)
  • 1439-037X
OpenAlex
W2105697681
Cited by
116
References
3
Citations by year
2026: 1 · 2025: 3 · 2024: 8 · 2023: 3 · 2022: 7 · 2021: 8 · 2020: 7 · 2019: 3 · 2018: 3 · 2017: 2 · 2016: 6 · 2015: 8 · 2014: 4 · 2013: 9 · 2012: 6
FWCI
6.23
Type
journal article
Language
en
Open access
closed
Locations
Journal of Agronomy and Crop Science (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Computer Science › Software › SAS software applications and methods
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Optimal Experimental Design Methods
Keywords
class imbalance, linear mixed models, designed experiments, multiple comparisons

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