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Multivariate sequential logistic regressions were utilized to estimate individual patients' probabilities of receiving Tx1, Tx2 and TxS, respectively.
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Sequential, random effects, multivariate logistic regression models were used to test the independent association of patient characteristics (Model 1), provider demographics (Model 2), and other provider characteristics including experience, expectations, disease-specific knowledge, risk aversion and uncertainty preferences (Model 3) with the decision to refer.
Results of the multivariate multinomial logistic regression analysis.
Multivariate binary logistic regression analyses.
Multivariate ordered logistic regression model was used.
Multivariate stepwise logistic regression analysis was performed.
For multivariate analysis, logistic regression was used.
*Results of multivariate multinomial logistic regression.
We then attempted multivariate ordinal logistic modeling.
For multivariate analyses, logistic regression was used.
Multivariate logistic regressions were performed.
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