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Means, standard deviations (SDs), and confidence intervals were calculated for each functional and psychological outcome variable by type and reconstruction groups.
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Table 2 summarizes these variables by type of AED.
With optimization models, many variations are possible, including through the addition of constraints, the use of different objective function values, or by differentiating decision variables by type.
Analysis was performed with SPSS version 15 for Windows, while data collection used inferential analysis between variables by type and normal.
We categorized the primary independent variables by type (any NRT, nicotine patch, and nicotine gum) and duration (no NRT use and use for <4 weeks, 4.0 7.9 weeks, 8.0 11.9 weeks, and ≥12 weeks).
Distribution of the study variables by type of prevention (primary or secondary) is shown in Table 3. Mean patient age was 64.1 (13.8) years, and the values for patients in primary and secondary prevention were 62.3 (14.1) years and 70.9 (10.0) years respectively (p = 0.000).
The combination of diversifying variable renewables by type and location, forecasting their variation, and integrating them with dispatchable renewables, flexible fueled generators, and demand response can create a power system that has the potential to meet power supply needs reliably.
We performed analysis of the main demographic and clinical variables stratified by type of disease.
The accuracy was 97.5 % in 2010, an increase from 92.7%% in 2005 and there were no differences in the distribution by any explanatory variables, except by type of infection control module (ICM) for CSEC in 2008.
We formally determined if risk ratios for the exposure variables differed by type of EC using a competing risk form of Cox proportional hazards regression (Lunn and McNeil, 1995).
In other sections of the analysis, the outcome variable was displayed by type of treatment (prevention, fillings, surgery, periodontics, endodontics, prosthodontics, orthodontics, other and urgent needs).
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