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Demographic characteristics of the participants.
Fallers are patient who declared at least one fall in the six previous months. No statistically significant difference was found between the two population regarding age,... -
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Spuriousness of subgroup analyses, based on Sun et al. (2010). -
Comparing Machine Learning Classifiers And Linear/Logistic Regression To Expl...
----------------------------------------------------------------------------------------------------------------- Data for "Comparing Machine Learning Classifiers and... -
Distribution of demographics in the US (n = 476) and German (n = 491) online ...
Distribution of demographics in the US (n = 476) and German (n = 491) online sample compared to census data from both countries. -
Predictors for sex classifier: right and left hand features.
Predictors for sex classifier: right and left hand features. -
Demographic and socio-psycho-sexual description of the sample.
Demographic and socio-psycho-sexual description of the sample. -
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Likert Means, Standard Deviations and estimated 95% Confidence Intervals for each combination of factor levels. -
r37980778c78--af108fea338d665174ba61a03c4fb31e
Vertebrate fossils embedded in amber represent a particularly valuable paleobiological record as amber is supposed to be a barrier to the environment, precluding significant... -
Percentage of participants falling into clusters "Late", "Unsure" and "Early"...
Percentage of participants falling into clusters “Late”, “Unsure” and “Early”, in relation to participant demographics. -
Results of the Logistic Mixed Effect Model on accuracy data in the English-It...
Results of the Logistic Mixed Effect Model on accuracy data in the English-Italian comparisons (see text for details). -
r37980778c78--ebe32db4e0039469a70b9da816b11776
Defects are likely ubiquitous in metal–organic frameworks (MOFs). Investigation of the effect of defects on the mechanical deformation of MOFs remains at a nascent stage. In... -
Multinomial logistic regression analysis for the Korean sample.
Multinomial logistic regression analysis for the Korean sample.
