Author: Mark Chang
Edition: 2011
Publisher: Springer
Binding: Hardcover
ISBN: 1441998411
Modern Issues and Methods in Biostatistics (Statistics for Biology and Health)
Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Medical books Modern Issues and Methods in Biostatistics . Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics Medical books Modern Issues and Methods in Biostatistics. Modern Issues and Methods in Biostatistics
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Modern Issues and Methods in Biostatistics
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author mark chang format hardback language english publication year 10 07 2011 series statistics for biology and health subject mathematics sciences subject 2 mathematics title modern issues and methods in biostatistics author chang mark publisher springer verlag publication date jul 15 2011 pages 307 binding hardcover dimensions 6 25 wx 9 25 hx 1 00 d isbn 1441998411 subject mathematics probability statistics general description classic biostatistics a branch of statistical science has as its
Modern Issues and Methods in Biostatistics (Statistics for Biology and Health), ISBN-13: 9781441998415, ISBN-10: 1441998411
Medical Book Modern Issues and Methods in Biostatistics
Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the rapid growth of life science data (e.g., genomics data) have promoted the formation of modern biostatistics. There are at least three characteristics of modern biostatistics: (1) in-depth engagement in the application fields that require penetration of knowledge across several fields, (2) high-level complexity of data because they are longitudinal, incomplete, or latent because they are heterogeneous due to a mixture of data or experiment types, because of high-dimensionality, which may make meaningful reduction impossible, or because of extremely small or large size; and (3) dynamics, the speed of development in methodology and analyses, has to match the fast growth of data with a constantly changing face. This book is written for researchers, biostatisticians/statisticians, and scientists who are interested in quantitative analyses. The goal is to introduce modern methods in biostatistics and help researchers and students quickly grasp key concepts and methods. Many methods can solve the same problem and many problems can be solved by the same method, which becomes apparent when those topics are discussed in this single volume.
