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This recursive identification approach assumes that variables that appear earlier in the ordering affect the subsequent variables contemporaneously and with a lag, while variables that come later affect the previous ones only with a lag.
The authors conducted a review of 27 studies on spinal fusion outcomes by finding the most common tools, and afterward they indicated a set of tools to measure the subsequent variables: general health status, lumbar disability, patient satisfaction, return to previous occupation, medication use and status of anatomical fusion.
The best fitting multivariate models were built beginning with two variables with historic association to the outcome based on the review of the literature (poverty and maternal education for the personal risk factor study, and vehicle speed and volume for the environmental risk factor study), then adding subsequent variables if they improved the model.
Using an absolute value penalty causes subsequent variables to be added in order of strength of association with outcome variation.
Subsequent variables are selected to the chain in order to display the least collinearity with the previous ones.
A value of P = 0.05 was required to enter the model, although the P value could become nonsignificant after adding subsequent variables or after adjusting for cluster effect.
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The second part of the derivation follows from the relations between the random variables γ and β and subsequent variable changes.
The literature to date is limited by the imprecise use of the term palliative and subsequent variable designation of patients into evaluable groups.
All variables with bivariate associations significant at p < 0.20 were included with subsequent variable elimination until all remaining variables had p < 0.10.
Although we added other variables to these, this committee decision determined subsequent variable selection and heavily influenced the selection of candidate remission definitions.
A key advantage of this unsupervised approach is that EMVC-optimized annotations can be used for subsequent variable group enrichment without biasing the computed enrichment statistics.
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