The sample size necessary to obtain a desired level of statistical power depends in part on the population value of the effect size, which is, by definition, unknown. A common approach …
The Reviewer's Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences …
SM Kreidler, KE Muller, G Grunwald… - Journal of statistical …, 2013 - jstatsoft.org
GLIMMPSE is a free, web-based software tool that calculates power and sample size for the general linear multivariate model with Gaussian errors (http://glimmpse. SampleSizeShop …
F Chen, RA Dixon - Nature biotechnology, 2007 - nature.com
Recalcitrance to saccharification is a major limitation for conversion of lignocellulosic biomass to ethanol. In stems of transgenic alfalfa lines independently downregulated in …
Advanced Nursing Research: From Theory to Practice, Third Edition is the ideal graduate- level text for learning how to conduct nursing research, from development of an idea to the …
Statisticians most often use the linear mixed model to analyze Gaussian longitudinal data. The value and familiarity of the R2 statistic in the linear univariate model naturally creates …
M Shokouhifar - Applied Soft Computing, 2021 - Elsevier
Network function virtualization (NFV) is a new networking paradigm, which replaces the specific-purpose hardware appliances with software virtualization to perform network …
R Ahn, A Woodbridge, A Abraham, S Saba… - bmj, 2017 - bmj.com
Objective To examine the association between the presence of individual principal investigators' financial ties to the manufacturer of the study drug and the trial's outcomes …
RF Powers, DA Scott, FG Sanchez, RA Voldseth… - Forest Ecology and …, 2005 - Elsevier
First decade findings on the impacts of organic matter removal and soil compaction are reported for the 26 oldest installations in the nation-wide network of long-term soil …