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The prediction model can be formed using logistic and probit techniques.
The prediction model can be formed using logistic and probit techniques to diagnose tennis elbow.
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The effect of individual predator species on developmental success of the forms was evaluated using logistic analysis (Table 3).
A predictive model was formed in the logistic regression framework using the Bayesian Information Criteria (BIC) to determine a parsimonious subset of variables which were highly predictive of 100-day all-cause mortality.
Note: all independent variables are ln-transformed; all dependent variables are transformed using logistic form The arcsin-log transformed models using all available countries did not differ substantially from the logit-log models (data available on request).
Age groups were compared using logistic regression.
Multivariate analyses were performed using logistic regression.
Data were analysed using logistic regression analysis.
These data were analyzed using logistic regression analysis.
Data from 2035 men were analysed using logistic regression.
The aforementioned aspects were analyzed using logistic regression analysis.
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