Results 21 to 30 of about 89,148 (249)

The Re-Modeling of a Polymeric Drug Delivery System Using Smart Response Surface Designs: A Sustainable Approach for the Consumption of Fewer Resources

ChemEngineering
Introduction: The use of response surface designs for drug formulation is highly warranted nowadays. Such smart designs reduce the number of required experiments compared to full-factorial designs, while providing highly accurate and reliable results ...
Magdy M. Aly, Shaimaa S. Ibrahim, Rania M. Hathout   +2 more
doaj   +2 more sources

Experimental Designs and Statistical Analyses for Rootstock Trials

Agronomy
Modern agricultural research, including fruit tree rootstock evaluations, began in England. In the mid-1800s, field plots were established at the Rothamsted Research Station to evaluate cultivars and fertilizer treatments for annual crops.
Richard P. Marini
doaj   +2 more sources

Advanced row-column designs for animal feed experiments

Indian Journal of Animal Sciences, 2023
Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective.
PRAKASH KUMAR, KRISHAN LAL, ANIRBAN MUKHERJEE, UPENDRA KUMAR PRADHAN, MRINMOY RAY, OM PRAKASH   +5 more
doaj   +1 more source

FUNDAMENTAL CONCEPTS AND RECENT APPLICATIONS OF FACTORIAL STATISTICAL DESIGNS

Brazilian Journal of Biometrics, 2022
Factorial designs have been increasingly used in scientific investigations and technological development. The designs, through the use of matrices with all the treatment combinations, have been capable to effectively characterize the relationships ...
P. H. Mainardi, E. D. Bidoia
semanticscholar   +1 more source

rankFD: An R Software Package for Nonparametric Analysis of General Factorial Designs

The R Journal, 2023
Many experiments can be modeled by a factorial design which allows statistical analysis of main factors and their interactions. A plethora of parametric inference procedures have been developed, for instance based on normality and additivity of the ...
Frank Konietschke, E. Brunner
semanticscholar   +1 more source

Modelling and Predicting Self-Compacting High Early Age Strength Mortars Properties: Comparison of Response Models from Full, Fractioned and Small Central Composite Designs

Applied Sciences, 2023
The mixture design of cement-based materials can be complex due to the increasing number of constituent raw materials and multiple requirements in terms of engineering performance and economic and environmental efficiency.
Nara Cangussu, Ana Mafalda Matos, Paula Milheiro-Oliveira, Lino Maia   +3 more
doaj   +1 more source

When should factorial designs be used for late-phase randomised controlled trials?

Clinical Trials, 2023
Background A 2×2 factorial design evaluates two interventions (A versus control and B versus control) by randomising to control, A-only, B-only or both A and B together. Extended factorial designs are also possible (e.g. 3×3 or 2×2×2).
Ian R. White, Alexander Szubert, B. Choodari-Oskooei, Sarah Walker, M. Parmar   +4 more
semanticscholar   +1 more source

Design expert as a statistical tool for optimization of 5-ASA-loaded biopolymer-based nanoparticles using Box Behnken factorial design

Future Journal of Pharmaceutical Sciences, 2021
The overall objective was to prepare a highly accurate nanocarrier system of mesalamine for the treatment of ulcerative colitis with increased therapeutic efficacy and targeting.
W. Akram, N. Garud
semanticscholar   +1 more source

Analysis of covariance under variance heteroscedasticity in general factorial designs

Statistics in Medicine, 2021
Adjusting for baseline values and covariates is a recurrent statistical problem in medical science. In particular, variance heteroscedasticity is non‐negligible in experimental designs and ignoring it might result in false conclusions.
F. Konietschke, Cong Cao, Asanka Gunawardana, Georg Zimmermann   +3 more
semanticscholar   +1 more source

Statistical Modeling and Optimization of Process Parameters for 2,4-Dichlorophenoxyacetic Acid Removal by Using AC/PDMAEMA Hydrogel Adsorbent: Comparison of Different RSM Designs and ANN Training Methods

Water, 2022
In this study, the response surface methodology (RSM) and artificial neural network (ANN) were employed to study the adsorption process of 2,4-dichlorophenoxyacetic acid (2,4-D) by using modified hydrogel, i.e., activated carbon poly(dimethylaminoethyl ...
I. Dahlan, Emillia Eizleen Md Azhar, S. R. Hassan, H. A. Aziz, Y. Hung   +4 more
semanticscholar   +1 more source