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Methods which are distribution-free, which do not rely on assumptions that the data are drawn from a given parametric family of probability distributions. Statistics defined to be a function on a sample, without dependency on a parameter. An example is Order statistics, which are based on ordinal ranking of observations.
Dummy variables are useful in various cases. For example, in econometric time series analysis, dummy variables may be used to indicate the occurrence of wars, or major strikes. It could thus be thought of as a Boolean, i.e., a truth value represented as the numerical value 0 or 1 (as is sometimes done in computer programming).
In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points. In the comparison of two paired samples with missing data, a test statistic that uses all available data without the need for imputation is the partially overlapping samples t-test ...
Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text -heavy, but may contain data such as dates, numbers, and facts as well.
Burden of all infectious diseases, worldwide in 2004, measured in disability-adjusted life years Burden of non-communicable diseases, worldwide in 2004, measured in disability-adjusted life years Disease burden is the impact of a health problem as measured by financial cost , mortality , morbidity , or other indicators.
Numeric subscripts (including floating-point numbers) are stored from lowest to highest. All non-numeric subscripts are stored in alphabetical order following the numbers. In MUMPS terminology, this is canonical order. By using only non-negative integer subscripts, the MUMPS programmer can emulate the arrays data type
Qualitative research is a type of research that aims to gather and analyse non-numerical (descriptive) data in order to gain an understanding of individuals' social reality, including understanding their attitudes, beliefs, and motivation.
For example, for diabetes, HEDIS selects an eligible population based on age (18–75 years), continuous enrollment with a certain health insurer and certain "Events/diagnosis" from pharmacy data (electronic), insurance claims data (electronic) or from medical records. Pharmacy data is based on a list of medications prescribed for diabetes.