Simultaneous Inference in General Parametric Models

By Torsten Hothorn, Frank Bretz, Peter Westfall. Biometrical journal. Biometrische Zeitschrift, 2008

13,768 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/17088d7df16acebc74e11f6fd0a9f5b44a4560c5

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In Management Science and Operations Research

In Statistics and Probability

Citations in the corpus

How to capitalize on a priori contrasts in linear (mixed) models: A tutorial (2018, background): “As Maxwell et al. (2018) put it: “[S]uch tests may preclude the need for an omnibus interaction test and may be more informative than following the more typical path of testing simple effects” (p.”
Plant-hummingbird interaction networks in urban areas: Generalization and the importance of trees with specialized flowers as a nectar resource for pollinator conservation (2019, methodology): “For plant habit, after ﬁ nding a signi ﬁ cant di ﬀ erence, we also conducted a post hoc Tukey test for multiple comparisons using the function glht() in the package multcomp (Hothorn et al., 2008).”
Quantifying nectar production by flowering plants in urban and rural landscapes (2021, neutral): “P-values P-values for dependent variables were obtained from likelihood ratio tests (R function ‘drop1’) and pair-wise differences were calculated using post-hoc Tukey's tests (R function ‘glht’) from r package multcomp (Hothorn et al., 2008).”
Demography and Substrate Affinity of the Round Goby (Neogobius melanostomus) in Hamilton Harbour (2010, methodology): “Multiple all-pair post hoc comparisons were performed using the Rpackage “multcomp” (Hothorn et al., 2008) with Bonferroni corrections for simultaneous inference.”
Prolonged drought changes the bacterial growth response to rewetting (2015, methodology): “Post hoc Dunnet tests were done in the Multicomp package (Hothorn et al., 2008) by comparing treatments with the control.”
Landscape elements as potential barriers and corridors for bees, wasps and parasitoids (2011, positive): “If results showed significant P-values, they were tested with the post hoc general linear hypothesis test, using the packages multcomp and multcompView (Hothorn et al., 2008).”
Tree Species Identity Shapes Earthworm Communities (2017, methodology): “05) using the function glht from the multcomp package [46].”
Severe COVID-19 Is Marked by a Dysregulated Myeloid Cell Compartment (2020, positive): “P values resulting from differential abundance testing (via R multcomp and lsmeans packages) were adjusted using the Benjamini-Hochberg procedure and an FDR-cutoff of 5% across all clusters/ subsets and between-group comparisons (Hothorn et al., 2008; Lenth, 2016).”
p-Values for High-Dimensional Regression (2008, methodology): “We also remark that the Bonferroni correction in (2.1), multiplying the raw p-values by the number, |S̃(b)|, of selected variables, possibly could be improved using ideas of Hothorn, Bretz, and Westfall (2008), further increasing the power of the procedure.”
“Primeval forest relict beetles” of Central Europe: a set of 168 umbrella species for the protection of primeval forest remnants (2018, methodology): “Post-hoc tests for categorical predictor variables based on this model were performed with the add-on package multcomp (Hothorn et al. 2008).”
Interactions between microplastics and phytoplankton aggregates: Impact on their respective fates (2015, methodology): “This post-hoc test was performed using multcomp package (Hothorn et al., 2008) in R.”