A Multiple Comparison Procedure for Comparing Several Treatments with a Control
By C. Dunnett. 1955
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nathan Pike
- Jaka Demsar
- Salvador Garcia
- Brian A. Nosek
- Yichen Zhou
- W. Horrace
- Meghan L. Avolio
- F. Isbell
Citations in the corpus
- Interpreting Models via Single Tree Approximation (2016, methodology): “Here we make an analogue of the Bonferroni correction [Dunnett, 1955].”
- Estimation Methods for the Multivariate t Distribution (2008, unknown): “These estimates are given by [9]”
- A Simple Sequentially Rejective Multiple Test Procedure (1979, methodology): “For the case of normally distributed observations the multiple test procedure suggested by Dunnett (1955) is commonly used.”
- Major outcomes in high-risk hypertensive patients randomized to angiotensin-converting enzyme inhibitor or calcium channel blocker vs diuretic: The Antihypertensive and Lipid-Lowering Treatment to Prevent Heart Attack Trial (ALLHAT). (2002, unknown): “37) to account for the 3 original comparisons.(28) Data were analyzed according to participants’ randomized treatment assignments regardless of their subsequent medications (intentto-treat analysis).”
- Using false discovery rates for multiple comparisons in ecology and evolution (2011, background): “This approach has been refined by a number of authors including Keuls (1952), Scheffé (1953), Tukey (1953), Duncan (1955), Dunnett (1955), Šidák (1967), Dunn (1974), Holm (1979), Simes (1986) and Hochberg (1988).”
- Multiple Comparison of Several Linear Regression Models (2004, methodology): “Simulation-based methods have been previously proposed for various simultaneous inferences and multiple test problems; for example, Edwards and Berry (1987) considered how to assess the accuracy of simulated critical values for some simultaneous inference procedures, Beran (1988, 1990) proposed some”
- Comparison of response to 17β‐estradiol and 17β‐trenbolone among three small fish species (2006, methodology): “When the assumptions were met (with or without logarithmic transformation), the data were subjected to oneway analysis of variance followed by Dunnett’s multiple-comparison test [16].”
- What is the proper way to apply the multiple comparison test? (2018, background): “However, it is too conservative, since when the number of comparisons increases, the level of significance becomes very small and the power of the system decreases [7].”
- Multiple comparisons with the best, with economic applications (2000, methodology): “Dunnett, 1964; Dunn and Massey, 1965; Hahn and Hendrickson, 1971; Bechhofer and Dunnett, 1988; or Hochberg and Tamhane, 1987). The MCC literature has typically considered rather small values of N, such as Horrace (1998) gives values of for larger values of N, with (which is not restrictive for large”
- Functional equivalence of non‐lethal effects: generalized fish avoidance determines distribution of gray treefrog, Hyla chrysoscelis, larvae (2003, methodology): “This test controls the experimentwise Type 1 error rate, and necessitates hyper-replication of the control treatment (Dunnett 1955, 1964, Kuehl 2000).”
- Temporal constraints on the McGurk effect (1996, methodology): “We used Dunnett's procedure (Dunnett, 1955) for pairwise comparisons to identify the first condition that reliably differed from the in-synchrony condition.”