Sentence examples for data procedures from inspiring English sources

Table 1 Patients' data, procedures and outcomes.

Its modeling efforts are made following multi-category discrete data procedures for both detecting and confirming possible theoretical effects of factors and their associated categorical variables.

Likewise, we highlight the need to collect accurate VPD outbreak data, procedures carried out for outbreak control and outcomes in an understandable manner, according to timely updated guidelines or protocols for each VPD and using consensus variables for the auditing of VPD outbreak management.

3) Our target user was a biomedical scientist not expert in the technology used to produce the data or in bioinformatics, thus the data, procedures, publications and general results and conclusions of an analysis should be relatively easy to find on the project website for someone not familiar with the details of the particular technologies used to generate it.

The authors wish to thank Dr. Vladimir Babak for consulting about statistical data procedures.

One group was used to repeat the input data procedures; a second group was used to repeat the output data procedures, and the third group was used to repeat statistical and p value calculations.

Therefore, the analysis was adjusted for clustered data (procedure SURVEYLOGISTIC).

An arbitrary amount of data from different platforms can be inspected, using the 'integrate heterogenous data' procedure.

A Bayesian method was used to fit the Shuttleworth Wallace model to half-hourly measurements of evapotranspiration (ET) with the eddy covariance technique from an alpine grassland on the Qinghai-Tibetan plateau during the main growing season in 2008, and probabilistically estimated its parameters and predication uncertainties using both dataset-by-dataset and multi-data procedures.

Second, five complete-data analyses are performed by treating each completed-data set as an actual complete-data set; this permits standard complete-data procedures and software to be utilized directly.

After the missing cases are completed by several sets of plausible values to create multiple completed datasets, standard complete-data procedures are applied to each completed dataset, and finally the multiple sets of results are combined to yield a single inference.