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Repeated measures of ANOVA were used to compare platelet activity at different time points (< 48 hours and on Days 7 and 30 post-stroke), while Scheffe's multiple comparison analyzed the intra-individual course of parameters over time and compared the parameters of two different groups.
Repeated measures of analysis of variance were used to compare adhesion molecules at five different time points (days 1, 4, 7, 10, and 14), and Scheffé's multiple comparison was used to analyze the intra-individual course of parameters over time and to compare parameters of two different groups (good and poor outcome).
Repeated measures analysis of variance (ANOVA) was used to compare Ox-LDL at different time points (on days 1, 7 and 30 post stroke), and the Scheffé multiple comparison test was used to analyze the intra-individual course of parameters over time and compare the parameters of two different groups.
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Although cost-minimizing at a low rate of MRSA transmission, this approach became more and more expensive in the course of parameter increase.
The general model, including the RAS and TS, Huelsenbeck and Galtier models as special cases, has the advantage of adapting to the right model in the course of parameter optimization so that it can analyse all relevant types of data appropriately, but suffers from heavy computing loads with large amounts of data.
Scheffe's multiple comparison was used to analyze the intraindividual courses of parameters over time.
The time course of selected parameters during the ICU stay is depicted in Additional file 1: Figure S1.
The time course of iron parameters in AI shows a similar pattern as in septic patients with a high Hb level.
To compare the time course of respiratory parameters and arterial blood gases, one-way repeated-measures ANOVA followed by Bonferroni's test was used.
Integrating these models provides possibility to estimate microbial activity using time course of physicochemical parameters such as bed temperature, bed weight, and/or C02 concentration during decomposition.
Non-linear regression models for describing the time course of hematological parameters as a function of dose and time were developed by Mr. Thomas Keller, PhD (ACOMED statistics, Leipzig, Germany) by using SPSS 15.0 software package (SPSS Science, Erkrath, Germany, supplementary material 1).
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