2020
DOI: 10.1007/978-3-662-58800-0
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Thermodynamik

Abstract: Die Deutsche Nationalbibliothek verzeichnet diese Publikation in der Deutschen Nationalbibliografie; detaillierte bibliografische Daten sind im Internet über http://dnb.d-nb.de abrufbar.

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Cited by 13 publications
(11 citation statements)
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“…The fixed effects were defined as time, condition, and group, and the random intercept was defined as each participant. Partial eta squares ( η 2 ) were calculated for main effects and interactions (condition*time; group*time; group*condition and condition*time*group) using R sjstats package 38 and interpreted applying the rough benchmarks suggested by Cohen 39 defining small ( η 2 <0.05), medium ( η 2< 0.25), and large ( η 2 >0.25) effects sizes. VO 2 HR max , and %fat mass were added to the mixed model as covariates.…”
Section: Methodsmentioning
confidence: 99%
“…The fixed effects were defined as time, condition, and group, and the random intercept was defined as each participant. Partial eta squares ( η 2 ) were calculated for main effects and interactions (condition*time; group*time; group*condition and condition*time*group) using R sjstats package 38 and interpreted applying the rough benchmarks suggested by Cohen 39 defining small ( η 2 <0.05), medium ( η 2< 0.25), and large ( η 2 >0.25) effects sizes. VO 2 HR max , and %fat mass were added to the mixed model as covariates.…”
Section: Methodsmentioning
confidence: 99%
“…Selection of the best competing models was made using package glmulti version 1.0.7 2 (Calcagno and De Mazancourt, 2010) implemented in R, which allows the exploration of all models using automated model selection and model-averaging procedure using a genetic algorithm. Visualization of the predicted response, Pneumocystis infection, was made using the packages sjmisc, sjlabelled and sjPlot (Lüdecke, 2018;Lüdecke and Lüdecke, 2017).…”
Section: Statistical Analysis and Environmental Datamentioning
confidence: 99%
“…Analyses were performed in R 3.5.1 (www.r-project.org) using FactoMinR (Lê et al 2008), ggplot2 (Wickham et al 2016), lme4 (Bates et al 2007), sjstats (Lüdecke and Lüdecke 2017), MASS (Ripley et al 2013), and vegan (Oksanen et al 2007) packages.…”
Section: Discussionmentioning
confidence: 99%