2000
DOI: 10.1201/9781420035834
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The Theory of the Design of Experiments

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Cited by 355 publications
(82 citation statements)
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“…We studied ≥5 mice for each of the (2×3×2×2 = 24) factorial combinations (“full factorial experiment”) [17]. This approach allowed us to study not only the individual effects (“main effects”) of each factor (mutation, diet, genetic background, and sex), but also whether the effect of a factor depended on other factors (“interactions”) (Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…We studied ≥5 mice for each of the (2×3×2×2 = 24) factorial combinations (“full factorial experiment”) [17]. This approach allowed us to study not only the individual effects (“main effects”) of each factor (mutation, diet, genetic background, and sex), but also whether the effect of a factor depended on other factors (“interactions”) (Table 1).…”
Section: Resultsmentioning
confidence: 99%
“…A statistical analysis of variance (ANOVA) is performed to identify the process parameters that are statistically significant. The optimal combination of the process parameters can then be predicted based on the above analysis [4][5][6][7][8].…”
Section: Description Of the Taguchi Methodsmentioning
confidence: 99%
“…Randomization tests of no effect are often inverted to yield distribution free con dence intervals and Hodges-Lehmann point estimates for additive treatment effects. (See Lehmann 1998;Cox and Reid 2000;Rosenbaum 2002a, sec. 2, for recent textbook discussions of various aspects of randomization inference.…”
Section: Randomization Inference With Imperfect Compliancementioning
confidence: 98%