We assembled data on the characteristics of the included OUs from a variety of sources, but were only able to evaluate a limited range of unit characteristics based on data that were sometimes of uncertain quality and validity.
Most flood models are based on advanced algorithmic and multiple data requirements that are sometimes difficult to apply in developing countries.
Other methods, such as the addition of random noise, distort the individual-level data in ways that are sometimes not intuitive and may result in incorrect results if these distortions affect the multivariate correlational structure in the data.
The established view linked experience to what is sometimes called 'the given': we are the passive recipients of atomistic, determinate and singular sensory contents, the kinds of things that are sometimes called sense data.
Using these data, regulators have been assigned various roles that are sometimes contradictory [4].
To identify 2001 prevalent cases, centers used databases and data sources that were sometimes common to all centers (e.g., hospital records) and sometimes unique to a specific center (e.g., A1C test results in laboratory databases) as well as direct case reports from health care providers, as previously described (12, 13).
Data that are MCAR and MAR are sometimes referred to as "ignorable" because estimation of the model parameters is valid even if one does not estimate the parameters of the missing data mechanism.
Much of bioinformatics analysis focus on sequences (DNA, RNA, and protein molecules), as the type of data that are stored, compared, and sometimes modeled.
Sometimes, the data that are needed just can't be found because what one country measures, another guesses.
Sometimes, we have data that are essentially categorical, but with numerical properties, or numerical data that can take on only a small number of values.
