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001 978-1-4419-9842-2
003 DE-He213
005 20140220083730.0
007 cr nn 008mamaa
008 110708s2011 xxu| s |||| 0|eng d
020 _a9781441998422
_9978-1-4419-9842-2
024 7 _a10.1007/978-1-4419-9842-2
_2doi
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMBNS
_2bicssc
072 7 _aMED090000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aChang, Mark.
_eauthor.
245 1 0 _aModern Issues and Methods in Biostatistics
_h[electronic resource] /
_cby Mark Chang.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _aXIV, 307 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStatistics for Biology and Health,
_x1431-8776
505 0 _aMultiple-Hypothesis Testing Strategy -- Pharmaceutical Decision and Game Theory -- Noninferiority Trial Design -- Adaptive Trial Design -- Missing Data Imputation and Analysis -- Multivariate and Multistage Survival Data Modeling -- Meta-analysis -- Data Mining and Signal Detection -- Monte Carlo Simulation -- Bayesian Methods and Applications.-.
520 _aClassic 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. 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.
650 0 _aStatistics.
650 0 _aData mining.
650 0 _aMathematics.
650 0 _aEngineering.
650 1 4 _aStatistics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aData Mining and Knowledge Discovery.
650 2 4 _aMathematics Education.
650 2 4 _aComputational Intelligence.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781441998415
830 0 _aStatistics for Biology and Health,
_x1431-8776
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4419-9842-2
912 _aZDB-2-SMA
999 _c106140
_d106140