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Getis–Ord statistics, also known as G i *, are used in spatial analysis to measure the local and global spatial autocorrelation.Developed by statisticians Arthur Getis and J. Keith Ord they are commonly used for Hot Spot Analysis [1] [2] to identify where features with high or low values are spatially clustered in a statistically significant way.
Note that we do not know based on one cross-sectional sample if obesity is increasing or decreasing; we can only describe the current proportion. Cross-sectional data differs from time series data, in which the same small-scale or aggregate entity is observed at various points in time.
Graph depicting blood sugar change during a day with three meals. The glycemic (glycaemic) index (GI; / ɡ l aɪ ˈ s iː m ɪ k / [1]) is a number from 0 to 100 assigned to a food, with pure glucose arbitrarily given the value of 100, which represents the relative rise in the blood glucose level two hours after consuming that food. [2]
Liu et al. were the first to show that based on their calculation, the glycemic load of a specific food—calculated as the product of that food's carbohydrate content and its glycemic index value—has direct physiologic meaning in that each unit can be interpreted as the equivalent of 1 g carbohydrate from white bread (or glucose depending on ...
Acceptable daily intake or ADI is a measure of the amount of a specific substance (originally applied for a food additive, later also for a residue of a veterinary drug or pesticide) in food or drinking water that can be ingested (orally) daily over a lifetime without an appreciable health risk. [1]
In the table below, glycemic and insulin scores show the increase in the blood concentration of each. The Insulin Index is not the same as a glycemic index (GI), which is based exclusively on the digestible carbohydrate content of food, and represents a comparison of foods in amounts with equal digestible carbohydrate content (typically 50 g).
Market share analysis is a part of market analysis and indicates how well a firm is doing in the marketplace compared to its competitors. Givon, Mahajan, and Muller have researched spreadsheet and word processing software firms to give a clearer image of how to determine market share in the software industry. They propose six factors to help ...
However, as the food supply has evolved, and with the increasing demand for nutritional and related components, it has become more difficult for compilers to rely only on chemical analysis when compiling FCDBs. For example, in the UK the third edition of The Composition of Foods [3] presented data on vitamin content of foods. However, due to ...