This chapter discusses the concepts of normality in clinical biochemistry. The chapter begins with a discussion on populations and their distributions. A population is a collection of individuals or items having something in common. A population can be described by quantifiable characteristics frequently called observations or measures. For a given measure, the list of possible values that can be assumed with the corresponding frequency with which each value appears in the population relative to the total number of elements in the population is referred to as the distribution of the measure or observation in the population. Distributions can be displayed in tabular or graphical form, or summarized in mathematical expressions. Distributions are classified as discrete distributions or continuous distributions on the basis of values that the measure can assume. The chapter elaborates reference interval determination and use, including Gaussian distribution, conventional methods for determining reference intervals, and receiver operating characteristic analysis. Accuracy in analyte measurements is also discussed. The chapter concludes with a discussion on precision in analyte measurements and inference from samples.
|Original language||English (US)|
|Title of host publication||Clinical Biochemistry of Domestic Animals|
|Number of pages||25|
|State||Published - 2008|
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)