Cambridge Dictionary of Statistics in the Medical Sciences
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Need to know what a quangle is? Over 2000 terms are defined in this dictionary, which provides brief but useful descriptions of statistical terms frequently found in the biomedical literature. Where appropriate, terms are illustrated by graphical or numerical examples, and the use of mathematical formulae has been minimised. If you use statistics and need a useful, up-to-date and reliable sourcebook that provides simple definitions and explanations of statistical concepts, especially those used in biomedicine, then you will need this 1995 dictionary. Over 2000 terms are included here; Professor Everitt has aimed to provide brief but useful descriptions of those terms frequently found in the medical and medical statistics literature. Where appropriate, graphical illustrations or numerical examples are given, and the use of mathematical formulae has been minimised. This will be an essential reference for workers in all branches of medicine, applied statistics and biostatistics, especially research workers and research oriented clinicians.
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Need to know what a quangle is? Over 2000 terms are defined in this dictionary, which provides brief but useful descriptions of statistical terms frequently found in the biomedical literature. Where appropriate, terms are illustrated by graphical or numerical examples, and the use of mathematical formulae has been minimised. If you use statistics and need a useful, up-to-date and reliable sourcebook that provides simple definitions and explanations of statistical concepts, especially those used in biomedicine, then you will need this 1995 dictionary. Over 2000 terms are included here; Professor Everitt has aimed to provide brief but useful descriptions of those terms frequently found in the medical and medical statistics literature. Where appropriate, graphical illustrations or numerical examples are given, and the use of mathematical formulae has been minimised. This will be an essential reference for workers in all branches of medicine, applied statistics and biostatistics, especially research workers and research oriented clinicians.
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