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Weights were developed using all the characteristics associated with dropout, which included black race, male sex, site of enrollment, incarceration history, self-report of ever smoking, and having less than a high school education at baseline [ 13].
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To further take non-response into account, sampling weights were developed using all the personal characteristics in Table 1.
Our main contribution is the introduction of the combination approach to use all the different characteristics of TMOs into account.
A systematic study of the EEJ characteristics using all the data from the Oersted, CHAMP, and SAC-C satellites obtained during the years (1999 to 2006) was used to construct the equatorial electrojet climatological model (EEJM-2.0) to reflect the day-to-day variability of electrojet using the input parameters of longitude, local time, and season and solar flux.
Using all site characteristics, the discriminant functions on average correctly predicted presence-absence of species across sites 74.5% of the time.
Finally, a backward regression analysis was performed on each of the four outcome measures using all eight characteristics of the subjects and procedures.
After these exercises we will calculate positive and negative predicted values for the clinical problems and perform univariable analyses, using all available characteristics of clinical history, physical examination and the several diagnostic tests.
In addition, multiple imputations were performed for missing data on the productivity loss, again using all baseline characteristics as stated above.
Multiple imputations for missing values concerning the questionnaires were performed using all baseline characteristics (age, sex, type of fracture, hand dominance and comorbidity) and existing variables of the EuroQol-5D and PRWHE.
Imputation procedure was performed under the missing-at-random assumption, using all patients' characteristics on inclusion as covariates (see Table 1) with a predictive mean matching method for continuous variables and logistic regression models (binary, ordinal or polynomial) for qualitative variables [20].
Cross-validation was conducted using all characteristics to assess the generalizability and stability of the final CART model.
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