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After excluding the trend component, we calculate the average of H t) − X t) (additive model) or H t)/X t) (multiplicative model) of the same month data in different years.
12 values standing for the weights of 12 months is generated after averaging H t) − X t) (additive model) or H t)/X t) (multiplicative model) of the same month data in different years.
Analysis by Cox proportional hazards model Model 1: Adjusted by age, gender and BMI Model 2: Adjusted by Model 1 variable and experience of falls in previous 6 month Model 3: Adjusted by age, gender, BMI and Energy intake Model 4: Adjusted by Model 3 variable and experience of falls in previous 6 month Data in bold are p < 0.05 Non significant foods were excluded from the table for simplicity.
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To evaluate optical coherence tomography (OCT) measurements and methods of analysis of OCT data in studies of diabetic macular edema (DME).
Comparison of mesial and distal bone level at baseline, 3-month and 6-month data in test and control groups.
Comparison of tissue thickness (crestal, buccal, lingual) at baseline and 3-month data in test and control groups.
He received his Master's degree in Biomedical Engineering from Duke in 2013 while researching techniques to acquire, process, and render volumetric optical coherence tomography (OCT) data in real time using graphics processing units (GPU).
The NCAA's Academic Performance Program revamped the Academic Progress Rate (APR) data in 2011, wary of the struggles historic black colleges and universities were facing in their compilation and submission of data each year.
While we did examine the class structure in the 3-month follow-up data, we did not include the 3-month data in the LTA model.
Given the fact that we failed to collect 6-month data in the control group which may affect the richness of the results and limit the analysis of this group, we focused on establishing the psychometric properties using the case group in this study and had the follow-up period longer than that of other study, e.g. three months [ 37].
42 For both reasons MRI data may be more noisy compared to OCT data in this particular context.
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