The DOI matches its Crossref record; 40 of the 42 references it cites were found in a registry or an index.
Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM
Open accessAbstract
Nonparametric statistical inference methods for a modern and robust analysis of longitudinal and multivariate data in factorial experiments are essential for research.While existing approaches that rely on specific distributional assumptions of the data (multivariate normality and/or equal covariance matrices) are implemented in statistical software packages, there is a need for user-friendly software that can be used for the analysis of data that do not fulfill the aforementioned assumptions and provide accurate p value and confidence interval estimates.Therefore, newly developed nonparametric statistical methods based on bootstrap-and permutation-approaches, which neither assume multivariate normality nor specific covariance matrices, have been implemented in the freely available R package MANOVA.RM.The package is equipped with a graphical user interface for plausible applications in academia and other educational purpose.Several motivating examples illustrate the application of the methods.
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“This analysis does not rely on assumptions of multivariate normality or specific covariance structures in the data, making it suitable even for data with non‐normal error terms and/or heteroscedastic variances [58, 59].”
From Interpersonal Synchronization of Autonomic Physiology via Mere Visual Contact (2026) · cites this paper as [58]
Citations
Cites
Simultaneous Inference in General Parametric Models
Hothorn, T., Bretz, F., & Westfall, P. H. (2008) · Biometrical Journal · doi:10.1002/bimj.200810425 · Cited by 14,265
A new method for non-parametric multivariate analysis of variance
Anderson, M. J. (2001) · Austral Ecology · doi:10.1111/j.1442-9993.2001.01070.pp.x · Cited by 13,828 · cited 2×
“Focusing on metric data and mean-based procedures, MANOVA and RM models are typically inferred by means of “classical” procedures such as Wilks’ Lambda, Lawley-Hotelling, Roy’s largest root (Davis, 2002; Johnson and Wichern, 2007; Anderson, 2001) or (generalized) linear mixed models with generalized estimating equatio…”
MethodApplied Multivariate Statistical Analysis
Härdle, W. K., & Simar, L. (2015) · Springer eBooks · doi:10.1007/978-3-662-45171-7 · Cited by 1,653
Applied Multivariate Statistical Analysis
Dunn, C. L., Johnson, R. A., & Wichern, D. W. (1989) · Technometrics · doi:10.2307/1268834 · Cited by 1,624
Noguchi, K., Gel, Y. R., Brunner, E., & Konietschke, F. (2012) · Journal of Statistical Software · doi:10.18637/jss.v050.i12 · Cited by 1,146 · cited 2×
“…rank-based methods for null hypotheses formulated in distribution functions are implemented within the packages npmv for oneand two-way MANOVA (Burchett et al., 2017) and nparLD for several repeated measures designs The R Journal Vol. XX/YY, AAAA 20ZZ ISSN 2073-4859 (Noguchi et al., 2012).”
BackgroundMethodSelf-citationNonparametric analysis of longitudinal data in factorial experiments
Brunner, E., Domhof, S., & Langer, F. (2002) · Cited by 635
Nonparametric Analysis of Longitudinal Data in Factorial Experiments
Ghosh, S. (2003) · Technometrics · doi:10.1198/tech.2003.s161 · Cited by 585 · cited 1×
“…the The R Journal Vol. XX/YY, AAAA 20ZZ ISSN 2073-4859 well-established ANOVA-type statistic (ATS) QN = NX ′ •TX• (3) by Brunner (2001) is implemented together with the enhanced F-approximation of the statistic proposed in Brunner et al. (1997, 2002) and implemented in the SAS PROC Mixed procedure.”
MethodBox-Type Approximations in Nonparametric Factorial Designs
Brunner, E., Dette, H., & Munk, A. (1997) · Journal of the American Statistical Association · doi:10.1080/01621459.1997.10473671 · Cited by 272 · cited 2×
“…the The R Journal Vol. XX/YY, AAAA 20ZZ ISSN 2073-4859 well-established ANOVA-type statistic (ATS) QN = NX ′ •TX• (3) by Brunner (2001) is implemented together with the enhanced F-approximation of the statistic proposed in Brunner et al. (1997, 2002) and implemented in the SAS PROC Mixed procedure.”
MethodExact and asymptotically robust permutation tests
Chung, E., & Romano, J. P. (2013) · The Annals of Statistics · doi:10.1214/13-aos1090 · Cited by 239 · cited 2×
“, 2018) and ffmanova (Øyvind Langsrud and Mevik, 2019) contain interesting permutation and rotation tests, which, however, require certain invariances resulting in model restrictions (see, e.g., the discussion in Huang et al., 2006; Chung and Romano, 2013) .”
BackgroundNonparametric Inference for Multivariate Data: The R Package npmv
Burchett, W., Ellis, A. R., Harrar, S. W., & Bathke, A. C. (2017) · Journal of Statistical Software · doi:10.18637/jss.v076.i04 · Cited by 203 · cited 5×
“, 2006; Chung and Romano, 2013) . Most of these procedures, however, rely on specific distributional assumptions (such as multivariate normality) and/or specific covariance or correlation structures (e.g., homogeneity between groups or, for RM, compound symmetry; possibly implying equal correlation between measurement…”
BackgroundMethodInfluentialA solution to the multivariate behrens-fisher problem
Nel, D. G., & Merwe, C. A. V. D. (1986) · Communication in Statistics- Theory and Methods · doi:10.1080/03610928608829342 · Cited by 148
An Approximate Degrees of Freedom Solution to the Multivariate Behrens Fisher Problem
Yao, Y. (1965) · Biometrika · doi:10.1093/biomet/52.1-2.139 · Cited by 127 · cited 2×
“In case of a = 2 this includes the famous multivariate Behrens-Fisher problem as, e.g., analyzed in Yao (1965); Nel and Van der Merwe (1986); Christensen and Rencher (1997); Krishnamoorthy and Yu (2004) or Yanagihara and Yuan (2005).”
BackgroundMethodParametric and nonparametric bootstrap methods for general MANOVA
Konietschke, F., Bathke, A. C., Harrar, S. W., & Pauly, M. (2015) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2015.05.001 · Cited by 125 · cited 7×
“The validity of this procedure (also named parametric bootstrap WTS) is proven in Konietschke et al. (2015).”
BackgroundMethodInfluentialSelf-citationModified Nel and Van der Merwe test for the multivariate Behrens–Fisher problem
Krishnamoorthy, K., & Yu, J. (2003) · Statistics & Probability Letters · doi:10.1016/j.spl.2003.10.012 · Cited by 95 · cited 1×
“In case of a = 2 this includes the famous multivariate Behrens-Fisher problem as, e.g., analyzed in Yao (1965); Nel and Van der Merwe (1986); Christensen and Rencher (1997); Krishnamoorthy and Yu (2004) or Yanagihara and Yuan (2005).”
MethodHuang, Y., Xu, H., Calian, V., & Hsu, J. C. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl383 · Cited by 84 · cited 1×
“…the packages flip (Finos et al., 2018) and ffmanova (Øyvind Langsrud and Mevik, 2019) contain interesting permutation and rotation tests, which, however, require certain invariances resulting in model restrictions (see, e.g., the discussion in Huang et al., 2006; Chung and Romano, 2013) .”
BackgroundStatistical methods for the analysis of repeated measurements
(2002) · Choice Reviews Online · doi:10.5860/choice.39-6471 · Cited by 84
Permuting longitudinal data in spite of the dependencies
Friedrich, S., Brunner, E., & Pauly, M. (2016) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2016.10.004 · Cited by 79 · cited 14×
“This test statistic tends to rather conservative decisions in case of small sample sizes and is even asymptotically only an approximation, thus not providing an asymptotic level α test, see Brunner (2001); Friedrich et al. (2017a).”
BackgroundMethodResultInfluentialSelf-citationMATS: Inference for potentially singular and heteroscedastic MANOVA
Friedrich, S., & Pauly, M. (2017) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2017.12.008 · Cited by 75 · cited 11×
“…Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et al. (2016); Friedrich et al. (2017a); Livacic-Rojas et al. (2017); Friedrich and Pauly (2018) and the references cited therein.”
BackgroundMethodResultInfluentialSelf-citationMcFarquhar, M., McKie, S., Emsley, R., John Suckling, A., Elliott, R., & Williams, S. R. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.02.053 · Cited by 75 · cited 2×
“…Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et al. (2016); Friedrich et al. (2017a); Livacic-Rojas et al. (2017); Friedrich and Pauly (2018) and the references cited therein.”
BackgroundBathke, A. C., Friedrich, S., Pauly, M., Konietschke, F., Staffen, W., Strobl, N., & Höller, Y. (2018) · Multivariate Behavioral Research · doi:10.1080/00273171.2018.1446320 · Cited by 66 · cited 11×
“…Department of Neurology, University Clinic of Salzburg, 160 patients were diagnosed with either Alzheimer’s Disease (AD), mild cognitive impairment (MCI), or subjective cognitive complaints without clinically significant deficits (SCC), based on neuropsychological diagnostics (Bathke et al., 2018).”
BackgroundMethodResultInfluentialSelf-citationGFD: An R Package for the Analysis of General Factorial Designs
Friedrich, S., Konietschke, F., & Pauly, M. (2017) · Journal of Statistical Software · doi:10.18637/jss.v079.c01 · Cited by 53 · cited 9×
“This test statistic tends to rather conservative decisions in case of small sample sizes and is even asymptotically only an approximation, thus not providing an asymptotic level α test, see Brunner (2001); Friedrich et al. (2017a).”
BackgroundMethodResultInfluentialSelf-citationellipse: Functions for Drawing Ellipses and Ellipse-Like Confidence Regions
Celayeta), D. M. A. E. D. C. (. T. R. B. J. M. F. (2000) · doi:10.32614/cran.package.ellipse · Cited by 53
Christensen, W. F., & Rencher, A. C. (1997) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610919708813439 · Cited by 45 · cited 3×
“, analyzed in Yao (1965); Nel and Van der Merwe (1986); Christensen and Rencher (1997); Krishnamoorthy and Yu (2004) or Yanagihara and Yuan (2005). • Crossed Two-Way (A× B): Splitting the index into two and writing μij = ν + αi + βj + γij we obtain the model X ijk = ν + αi + βj + γij + eijk, 1 ≤ i ≤ a, 1 ≤ j ≤ b, 1 ≤…”
BackgroundMethodTwo-Way MANOVA With Unequal Cell Sizes and Unequal Cell Covariance Matrices
Zhang, J. (2011) · Technometrics · doi:10.1198/tech.2011.10128 · Cited by 44 · cited 2×
“ive procedures have been developed that tackle the above problems and have been compared in extensive simulation studies, see amongst others Brunner (2001); Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2016); McFarqu…”
ResultThree Approximate Solutions to the Multivariate Behrens–Fisher Problem
Yanagihara, H., & Yuan, K. (2005) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910500308396 · Cited by 42
Vallejo, G., Fidalgo, A., & Fernández, P. (2001) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3601_01 · Cited by 35 · cited 2×
“ustifiable in real data. In particular, with decreasing sample sizes and increasing dimensions, such presumptions are almost impossible to verify in practice and may lead to inflated type-I-errors, cf. Vallejo et al. (2001); Lix and Keselman (2004); Vallejo Seco et al. (2007); LivacicRojas et al. (2010). To this end, se…”
BackgroundMethodA modified two-factor multivariate analysis of variance: asymptotics and small sample approximations
Harrar, S. W., & Bathke, A. C. (2010) · Annals of the Institute of Statistical Mathematics · doi:10.1007/s10463-010-0299-0 · Cited by 31 · cited 1×
“…and have been compared in extensive simulation studies, see amongst others Brunner (2001); Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et al. (2016); Friedrich et al. (2017a);…”
BackgroundLivacic-Rojas, P. E., Vallejo, G., & Fernández, P. (2010) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610910903548952 · Cited by 25 · cited 1×
“In particular, with decreasing sample sizes and increasing dimensions, such presumptions are almost impossible to verify in practice and may lead to inflated type-I-errors, cf. Vallejo et al. (2001); Lix and Keselman (2004); Vallejo Seco et al. (2007); Livacic-Rojas et al. (2010).”
BackgroundComparative Robustness of Recent Methods for Analyzing Multivariate Repeated Measures Designs
Vallejo, G., Gras, J. A., & García, M. A. (2007) · Educational and Psychological Measurement · doi:10.1177/0013164406294777 · Cited by 25 · cited 2×
“In particular, with decreasing sample sizes and increasing dimensions, such presumptions are almost impossible to verify in practice and may lead to inflated type-I-errors, cf. Vallejo et al. (2001); Lix and Keselman (2004); Vallejo Seco et al. (2007); Livacic-Rojas et al. (2010).”
BackgroundMANOVA for large hypothesis degrees of freedom under non-normality
Gupta, A. K., Harrar, S. W., & Fujikoshi, Y. (2007) · Test · doi:10.1007/s11749-006-0026-6 · Cited by 19 · cited 2×
“…that tackle the above problems and have been compared in extensive simulation studies, see amongst others Brunner (2001); Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et…”
MethodResultMANOVA.RM: Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
Friedrich, S., Konietschke, F., Pauly, M., & Modrzik, M. (2016) · doi:10.32614/cran.package.manova.rm · Cited by 18
Self-citationRGtk2: A Graphical User Interface Toolkit for R
Lang, D. T., & Lawrence, M. (2011) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 6
HSAUR: A Handbook of Statistical Analyses Using R (1st Edition)
Hothorn, T., & Everitt, B. S. (2006) · doi:10.32614/cran.package.hsaur · Cited by 6
Power of Modified Brown-Forsythe and Mixed-Model Approaches in Split-Plot Designs
Livacic-Rojas, P. E., Vallejo, G., Fernández, P., & Herrero, E. T. (2017) · Methodology · doi:10.1027/1614-2241/a000124 · Cited by 5 · cited 1×
“…Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et al. (2016); Friedrich et al. (2017a); Livacic-Rojas et al. (2017); Friedrich and Pauly (2018) and the references cited therein.”
BackgroundStatistical Methods for the Analysis of Repeated Measurements
Moeschberger, M. L. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s250 · Cited by 5
flip: Multivariate Permutation Tests
Finos, L. (2011) · doi:10.32614/cran.package.flip · Cited by 5
Langsrud, Ø., & Mevik, B. (2006) · doi:10.32614/cran.package.ffmanova · Cited by 5
A Comparison of Procedures for the Analysis of Multivariate Repeated Measurements
Lix, L. M., & Lloyd, A. M. (2007) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1193889840 · Cited by 4 · cited 2×
“t al. (2010). To this end, several alternative procedures have been developed that tackle the above problems and have been compared in extensive simulation studies, see amongst others Brunner (2001); Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and…”
MethodResultSCGLR: Supervised Component Generalized Linear Regression
Cornu, G., Mortier, F., Trottier, C., Bry, X., & Chauvet, J. (2013) · doi:10.32614/cran.package.scglr · Cited by 4
Modified Tests for Heteroscedastic Two-Way MANOVA
Xiao, S., & Zhang, J. (2016) · Journal of Advanced Statistics · doi:10.22606/jas.2016.11001 · Cited by 2 · cited 2×
“…see amongst others Brunner (2001); Lix and Lloyd (2007); Gupta et al. (2008); Zhang (2011); Harrar and Bathke (2012); Konietschke et al. (2015); Xiao and Zhang (2016); Bathke et al. (2018); McFarquhar et al. (2016); Friedrich et al. (2017a); Livacic-Rojas et al. (2017); Friedrich and Pauly…”
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Devarajan, A. K., Muthukrishanan, G., Truu, J., Truu, M., Ostonen, I., Subramanian, S., Panneerselvam, P., & Gopalasubramaniam, S. K. (2021) · Plants · doi:10.3390/plants10020387 · Cited by 85
Heavy metal and pesticide levels in dairy products: Evaluation of human health risk
Năstăsescu, V., Mititelu, M., Γούμενου, Μ., Docea, A. O., Renieri, E. A., Udeanu, D. I., Oprea, E., Arsene, A. L., Dinu‐Pîrvu, C. E., & Ghica, M. (2020) · Food and Chemical Toxicology · doi:10.1016/j.fct.2020.111844 · Cited by 84
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“Since in most cases at least one assumption for parametrical testing was violated, we decided to compute more conservative semiparametrical analyses with the MANOVA.RM package (Friedrich et al., 2019).”
MethodVoormolen, D. C., Zeldovich, M., Haagsma, J. A., Polinder, S., Friedrich, S., Maas, A. I. R., Wilson, L., Steyerberg, E. W., Čović, A., Anđelić, N., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9051525 · Cited by 64
Self-citationGeng, Y., Wang, J., Sun, Z., Ji, C., Huang, M., Zhang, Y., Xu, P., Li, S., Pawlett, M., & Zou, J. (2020) · Geoderma · doi:10.1016/j.geoderma.2020.114730 · Cited by 61
Metadata
- Authors
- Friedrich, S., Konietschke, F., & Pauly, M.
- Affiliations
- TU Dortmund University (DE)
- Venue
- The R Journal
- Publisher
- The R Foundation
- Published
- 2019
- Volume
- 11
- Issue
- 2
- Pages
- 380
- ISSN
- 2073-4859 (ISSN-L)
- OpenAlex
- W2998668315
- Cited by
- 131
- References
- 42
- Citations by year
- 2026: 10 · 2025: 21 · 2024: 19 · 2023: 31 · 2022: 17 · 2021: 19 · 2020: 13
- FWCI
- 5.58
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by
- Locations
- The R Journal (publishedVersion, cc-by)
- Lincoln (University of Nebraska) (submittedVersion, cc-by)
- GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, other-oa)
- OPUS (Augsburg University) (submittedVersion, cc-by)
- Funders
- Deutsche Forschungsgemeinschaft (DFG‐PA 2409/3‐1)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- repeated measures designs, longitudinal data, bootstrapping, permutation tests, multivariate normality, covariance structure, R package, graphical user interface, confidence intervals, p-value estimation
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