The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Multiple Comparisons Using R
Abstract
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at https://CRAN.R-pro
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“After applying the Bonferroni correction for evaluating multiple probabilities (Bretz et al. 2010), only the projections of areas 7A and DP to area 10 were inconsistent despite a statistically very low probability of being so.”
From A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2014) · cites this paper as Bretz et al. 2010
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
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
Self-citationGentleman R: R: A language for data analysis and graphics
Ihaka, R., & Gentleman, R. (1996) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.1996.10474713 · Cited by 11,747
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
A Multiple Comparison Procedure for Comparing Several Treatments with a Control
Dunnett, C. W. (1955) · Journal of the American Statistical Association · doi:10.1080/01621459.1955.10501294 · Cited by 6,097
A Direct Approach to False Discovery Rates
Storey, J. D. (2002) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/1467-9868.00346 · Cited by 5,603
A Multiple Testing Procedure for Clinical Trials
O'Brien, P. C., & Fleming, T. R. (1979) · Biometrics · doi:10.2307/2530245 · Cited by 3,311
Rectangular Confidence Regions for the Means of Multivariate Normal Distributions
Šidák, Z. (1967) · Journal of the American Statistical Association · doi:10.1080/01621459.1967.10482935 · Cited by 2,904
An improved Bonferroni procedure for multiple tests of significance
SIMES, R. J. (1986) · Biometrika · doi:10.1093/biomet/73.3.751 · Cited by 2,396
Discrete sequential boundaries for clinical trials
GORDON LAN, K. K., & DEMETS, D. L. (1983) · Biometrika · doi:10.1093/biomet/70.3.659 · Cited by 2,310
Cited by
Sorted by citations
Vrieze, A., Van Nood, E., Holleman, F., Salojärvi, J., Kootte, R. S., Bartelsman, J. F. W. M., Dallinga–Thie, G. M., Ackermans, M. T., Serlie, M. J., Oozeer, R., et al. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.06.031 · Cited by 2,913
Blanche, P., Dartigues, J., & Jacqmin‐Gadda, H. (2013) · Statistics in Medicine · doi:10.1002/sim.5958 · Cited by 1,917
A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
Markov, N. T., Ercsey-Ravasz, M. M., Ribeiro Gomes, A. R., Lamy, C., Magrou, L., Vezoli, J., Misery, P., Falchier, A., Quilodran, R., Gariel, M. A., et al. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs270 · Cited by 857
“ing multiple probabilities (Bretz et al. 2010), only the projections of areas 7A and DP to area 10 were inconsistent despite a statistically very low probability of being so.”
BackgroundMethodMicroplastic Shape, Polymer Type, and Concentration Affect Soil Properties and Plant Biomass
Lozano, Y. M., Lehnert, T., Linck, L. T., Lehmann, A., & Rillig, M. C. (2021) · Frontiers in Plant Science · doi:10.3389/fpls.2021.616645 · Cited by 697
“Then, we performed multiple comparisons “glht” among treatments by using the “Tukey” test and the function “sandwich” from the eponymous R package; this function provided a heteroscedasticity-consistent estimate of the covariance matrix (Zeileis, 2006; Bretz et al., 2011).”
MethodSimulation-Based Power Analysis for Factorial Analysis of Variance Designs
Lakens, D., & Caldwell, A. R. (2021) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245920951503 · Cited by 602
“The Holm procedure is slightly more powerful than the Bonferroni correction, without requiring additional assumptions (for other approaches, see Bretz et al., 2011).”
Method
Metadata
- Authors
- Bretz, F., Hothorn, T., & Westfall, P.
- Affiliations
- Texas Tech University (US)
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2016-04-19
- OpenAlex
- W396053900
- Cited by
- 1,233
- References
- 93
- Citations by year
- 2026: 20 · 2025: 57 · 2024: 96 · 2023: 70 · 2022: 97 · 2021: 146 · 2020: 99 · 2019: 133 · 2018: 98 · 2017: 89 · 2016: 78
- FWCI
- 12.36
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Chapman & Hall/CRC eBooks (publishedVersion)
- Thammasat University Digital Collections (submittedVersion)
- TU Digital Collections (Thammasat University) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Data Analysis with R
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- multiple comparisons, R software, statistical software implementation, hypothesis testing
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