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While literature on pre-transplant transfusions is abundant, the variety of patient characteristics, questions addressed, methods used, data details presented, and general study quality presents a challenge for the assessment of the effects of pre-transplant transfusions on patient outcomes.
Phylogenetic trees constructed with the various data sets using three different methods (i.e. MP, BI and ML) showed little variations within the data set, indicating that variation mainly originated from the type of data and not the methods used (data not shown).
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This paper compares both deterministic and stochastic methods using data from the same test beds.
This is followed by an application of our methods using data from the National Inpatient Sample.
I demonstrate several of these methods using data from Postclassic polities in the Yautepec valley, Morelos, Mexico.
Both methods use data on the size of inclusions revealed on the surface of sampled areas.
The performance of the proposed estimator is illustrated and compared to other methods using data from simulations and measurements, respectively.
We illustrate our methods using data from an observational HIV study involving heterosexual males who use intravenous drugs.
Spatial variability of soil modulus is modeled by geostatistical methods using data from a real construction site.
Angelov [4] evaluates the health cost of road traffic noise with similar methods using data for the Swedish relationship from [36].
The m-k and partial shear connection design methods using data from numerous full-size tests suffer drawbacks such as being expensive and time consuming.
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