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Such a priori selection of covariates has been validated for logistic regression procedures [50], [51].
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These assays were validated for placental samples.
The assay was validated for reindeer plasma.
The probe set was validated for consistency.
Quantitative Ho SPECT was validated for clinical application.
Arkenau et al (2008a, 2008b) developed a score based on overall survival, which then was validated by logistic regression analysis for prediction of 90-day survival.
All of the multiple logistic regression models were validated by the average receiver operating characteristics and the p-value for the Hosmer-Lemeshow goodness-of-fit test.
Every logistic regression model was validated on the training dataset with 100-fold bootstrapped cross-validation (Efron & Tibshirani, 1993).
All logistic regression models were validated by ensuring the Hosmer-Lemeshow goodness-of-fit test was not significant (p > 0.05).
The best model was obtained through logistic regression analysis; the model was validated.
The SMART multiple regression models derived for these dichotomous dependent variables then were validated prospectively by entering raw data from the 55 predictive cohort patients into the training cohort logistic regression formulae.
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