Research in the Biomedical Sciences 2018
DOI: 10.1016/b978-0-12-804725-5.00002-1
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Experimental Planning and Execution

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Cited by 2 publications
(2 citation statements)
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“…In this work, a full 2 3 factorial design was applied for the optimization of the extraction method of substances of low polarity from red propolis, aiming to be fast, of low expenditures, and high yield. This model allows a combination of three variables and one central point with three samples and is frequently used in optimization studies [24][25][26][27][28]. However, studies applying factorial design for the analysis of extractive processes of propolis samples using pressurized liquids have not yet been reported in the literature.…”
Section: Resultsmentioning
confidence: 99%
“…In this work, a full 2 3 factorial design was applied for the optimization of the extraction method of substances of low polarity from red propolis, aiming to be fast, of low expenditures, and high yield. This model allows a combination of three variables and one central point with three samples and is frequently used in optimization studies [24][25][26][27][28]. However, studies applying factorial design for the analysis of extractive processes of propolis samples using pressurized liquids have not yet been reported in the literature.…”
Section: Resultsmentioning
confidence: 99%
“…A key concern related to the translational value of the mouse and rat transgenic AD models, in fact for any transgenic model, is the rigor and objectivity with which the behavioral/functional phenotypes have been interrogated, reproduced, and reported. Behavioral studies in animal models have traditionally involved small effect sizes that as a result require experiments that are appropriately and rigorously designed to reduce bias i.e., blinded, randomized and adequately powered with relevant controls and predefined endpoints (Shineman et al., ; Gore & Stanley, ; Egan et al., ; Snyder et al., ; Mullane, Curtis, & Williams, ; Marino, ). Despite this, efficacy outcomes for new AD therapeutics are often reported as significant based on small effect sizes, minimal animal numbers that have not been repeated such that their value is overstated and questionable, reflecting reporting and significance bias (Tsilidis et al., ).…”
Section: Reproducibility Issues With Transgenic Rodent Ad Modelsmentioning
confidence: 99%