Two-level factorial experiments
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DOI: 10.1038/s41592-019-0335-9
Abstract: Simultaneous examination of multiple factors at two levels can reveal which have an effect. read more here.
Keywords: level factorial; two level; factorial experiments;
Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
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DOI: 10.1080/01621459.2018.1476246
Abstract: ABSTRACT We study causal interaction in factorial experiments, in which several factors, each with multiple levels, are randomized to form a large number of possible treatment combinations. Examples of such experiments include conjoint analysis, which… read more here.
Keywords: methodology; interaction factorial; causal interaction; interaction ... See more keywords
Inference from Randomized (Factorial) Experiments
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DOI: 10.1214/16-sts600
Abstract: This is a contribution to the discussion of the interesting paper by Ding [Statist. Sci. 32 (2017) 331–345], which contrasts approaches attributed to Neyman and Fisher. I believe that Fisher’s usual assumption was unittreatment additivity,… read more here.
Keywords: randomized factorial; inference randomized; factorial experiments;
R Package DoE.base for Factorial Experiments
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DOI: 10.18637/jss.v085.i05
Abstract: The R package DoE.base can be used for creating full factorial designs and general factorial experiments based on orthogonal arrays. Besides design creation, some analysis functionality is also available, particularly (augmented) half-normal effects plots. In… read more here.
Keywords: package; doe base; package doe; base factorial ... See more keywords