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The majority of our patients were diagnosed as a primary autism (68.5%) with the others as secondary regression.
The secondary regression analysis confirmed that the fixed-effect estimators were significantly associated with hospitals' advanced functions and local competitiveness, as hypothesized.
Previous economic studies of hospital production efficiency focused on estimated efficiency, and conducted a secondary regression analysis to identify factors related to the efficiency.
Given the substantially different hand contamination levels observed at schools in different intervention arms, we conducted a secondary regression analysis to examine the separate intervention effects for each arm (Table 2).
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As shown in Using specific healthcare measures and the resulting variability in efficiency rankings hints that they are inappropriate for efficiency rankings directly, but should instead be utilized as socio-economic, quality, and demographic environmental variables in secondary regressions.
Finally, we will describe the distribution of amyloid SUVR in patients with and without POCD as defined above and conduct a secondary logistic regression analysis similar to the regression above using POCD as the binary outcome.
The secondary logistic regression analysis included 77 patients and SAPS 3 score, ΔMPVday5, and ΔPlatday5.
We therefore performed a secondary logistic regression analysis on data from the fifth day after ICU admission.
We also did secondary quantile regression analyses restricted to the subset of children who were ever breastfed.
In a secondary analysis, regression models were computed only for current users of low-dose ASA at the index date.
A secondary multivariate regression model was used to explore the relative contributions of the four indices of the WISC-IV to this association.
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