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We then carried out the primary analysis using two statistical strategies, both done in agreement with the intention to treat principle.
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We compare the plausibility of hypotheses using two statistical approaches.
Data were analyzed using two statistical approaches.
We used two statistical approaches in analysing our data.
We used two statistical methods.
Two statistical strategies were employed to examine the experimental questions of this study.
SNPs were discovered using two different strategies.
Applications of this strategy are considered using two different statistical models.
Three statistical strategies were used to consider the covariates in the logistic models: (1) one including all the covariates listed in table 1; (2) one including the clinical comorbidity conditions only (hypertension, diabetes, AF, CHF, PAD, peptic ulcer, TIA and IHD); (3) one including the propensity score (calculated by predicting the probabilities of receiving low-dose aspirin ≥80%) only.
In this paper, the simplest data-in/data-out fusion architecture was used to combine neural network, fuzzy logic, statistical, and persistence forecasts using four different experimental strategies to produce a single predicted output.
Most existing antibiotics kill bacteria using one of three strategies.
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