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Intraclass correlation coefficients (ICC3) calculated by two-way mixed models and reported as average values.
McIlwraith et al. (McIlwraith et al. 2011) injected MSCs into microfractured chondral defects in equine models and reported that MSCs enhanced cartilage repair quality with increased aggrecan content and tissue firmness.
Moreover, the two monoclonal antibodies that were included in our in vitro assays, the integrin αvβ3-targeting 7E3 and LM609, were also previously tested in vivo in a number of animal cancer models and reported to have good tumor growth inhibition efficacy [46], [78].
For zBMI at age 7 years we fitted multiple linear regression models and reported beta coefficients with 95% confidence intervals (CIs).
Meta-analyses of prespecified outcomes were performed with fixed and random effects models and reported using relative risks or weighted mean difference.
Making use of stepwise regression backward elimination, they fitted logistic regression models and reported their results in terms of the proportion of selected variables that were true predictors.
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We provide a brief summary of the various features used in the prediction models and report their predictive performance.
Second, we define repeated cross-validation algorithms for selecting and assessing classification and regression models which deliver robust models and report the associated performance assessments.
We use the same approach to adopt traditional promoter scanning to handle multiple motif models and report the smallest p-value over the multiple motif models.
However, we understand the reviewers' concern on better grasping the relative likelihood space between the models and reporting the number of significant predictions.
Takaki et al. [46 48] used an additive structure for spectral modeling and reported that it has a high computational cost.
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