Common scientific and statistical errors in obesity research

BJ George, TM Beasley, AW Brown, J Dawson… - …, 2016 - Wiley Online Library
This review identifies 10 common errors and problems in the statistical analysis, design,
interpretation, and reporting of obesity research and discuss how they can be avoided. The …

Sample-size planning for more accurate statistical power: A method adjusting sample effect sizes for publication bias and uncertainty

SF Anderson, K Kelley, SE Maxwell - Psychological science, 2017 - journals.sagepub.com
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 …

[图书][B] The reviewer's guide to quantitative methods in the social sciences

GR Hancock, RO Mueller, LM Stapleton - 2010 - taylorfrancis.com
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 …

GLIMMPSE: online power computation for linear models with and without a baseline covariate

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 …

Lignin modification improves fermentable sugar yields for biofuel production

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 …

[图书][B] Advanced nursing research: From theory to practice

RM Tappen - 2022 - books.google.com
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 …

An R2 statistic for fixed effects in the linear mixed model

LJ Edwards, KE Muller, RD Wolfinger… - Statistics in …, 2008 - Wiley Online Library
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 …

FH-ACO: Fuzzy heuristic-based ant colony optimization for joint virtual network function placement and routing

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 …

Financial ties of principal investigators and randomized controlled trial outcomes: cross sectional study

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 …

The North American long-term soil productivity experiment: findings from the first decade of research

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 …