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This represents a segment with a fixed length vector, hence two sequences can be compared in linear time in feature space.
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Model 5 included variables from models 3 and 4, and the final, model 6, included all the variables from models 4 and 5. Finally, baseline resilience was compared in linear regression models between follow-up groups with/without incident CMD (ie, of those with no CMD at baseline) and between people with/without maintenance of CMD (of those with CMD at baseline).
The changes of the primary and secondary outcome from study inclusion to discharge will be compared in the two groups with generalized linear models accounting for covariates such as comorbidity.
> -wrap-foot> aGroups were compared in multiple linear regression models for each satisfaction score.
Cycle optimization was performed for each primer set before PCR, and for all reported experiments amplification levels were compared in the linear range of the PCR reaction.
The following experimental conditions were compared in the linear model: (1) Vehicle versus carboplatin treatment in A2780 and A2780cis tumors, respectively, and (2) A2780 versus A2780cis, tumors both during vehicle treatment (Fig. 3A).
The most frequent negative aspects of the programme were the focus just being restricted to the UK (n = 7) and the lack of proper career guidance (n = 6).> -wrap-foot> aGroups were compared in multiple linear regression models for each satisfaction score.
Linear and non linear models were compared in their classification and prediction tasks: non linear model resulted to be better at data fitting (36% vs. 10% variance explained, respectively) and provided more reliable parameters for accuracy and mis-classification rates (70 % and 30 vs. 66% and 34%, respectivs.y).
Two specific interface metaphors were compared in the first experiment, linear form filling and array editing interaction modes.
Both methods have been used in estimating non-linear relations between temperature and mortality, but the two analytical approaches have not been compared in distributed lag non-linear models.
Mean satisfaction scores were compared in uni-variable and multiple linear regressions.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com