000 04117cam a2200745Ka 4500
001 ocn796796332
003 OCoLC
005 20171114090156.0
006 m o d
007 cr cnu---unuuu
008 120626s2012 nju ob 001 0 eng d
020 _a9781118279694
_q(electronic bk.)
020 _a1118279697
_q(electronic bk.)
020 _a9786613678904
020 _a6613678902
020 _a9781118279724
_q(electronic bk.)
020 _a1118279727
_q(electronic bk.)
020 _a1280768134
020 _a9781280768132
020 _z9780470127278
020 _z0470127279
029 1 _aAU@
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029 1 _aAU@
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029 1 _aDEBBG
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029 1 _aDEBBG
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029 1 _aDKDLA
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029 1 _aNZ1
_b15122945
035 _a(OCoLC)796796332
_z(OCoLC)795895010
_z(OCoLC)798700393
_z(OCoLC)817089784
_z(OCoLC)844729509
_z(OCoLC)961503701
_z(OCoLC)962592945
037 _a10.1002/9781118279724
_bWiley InterScience
_nhttp://www3.interscience.wiley.com
040 _aN$T
_beng
_epn
_cN$T
_dIDEBK
_dEBLCP
_dMERUC
_dDG1
_dOCLCO
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049 _aMAIN
050 4 _aR858
_b.V36 2012eb
072 7 _aMED
_x090000
_2bisacsh
082 0 4 _a610.72/7
_223
084 _aMAT029000
_2bisacsh
100 1 _aVan Belle, Gerald.
245 1 0 _aDesign and analysis of experiments in the health sciences /
_cGerald van Belle, Kathleen F. Kerr.
_h[electronic resource]
250 _a1st ed.
260 _aHoboken, N.J. :
_bWiley,
_c2012.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _adata file
_2rda
380 _aBibliography
504 _aIncludes bibliographical references and index.
505 0 _aDesign and Analysis of Experiments in the Health Sciences; Contents; Preface; 1 The Basics; 1.1 Four Basic Questions; 1.2 Variation; 1.3 Principles of Design and Analysis; 1.4 Experiments and Observational Studies; 1.5 Illustrative Applications of Principles; 1.6 Experiments in the Health Sciences; 1.7 Adaptive Allocation; 1.7.1 Equidistribution; 1.7.2 Adaptive Allocation Techniques; 1.8 Sample Size Calculations; 1.9 Statistical Models for the Data; 1.10 Analysis and Presentation; 1.10.1 Graph the Data in Several Ways; 1.10.2 Assess Assumptions of the Statistical Model.
520 _a"This volume provides technical professionals and students with three uniquely integrative enhancements to the study of predictive modeling not typically found in data-mining books: an applied approach, immediate practice using Microsoft Excel, and easy-to-use access to multiple online model-building tools. Since actual datasets are employed, users deal with real-life modeling issues and situations such as handling missing values, applying variable transformations, and addressing outliers, among others. An easy-to-learn Microsoft Excel add-in (Predictive MinerXL) and all applicable datasets are available for free on an associated Web site"--
_cProvided by publisher.
588 0 _aPrint version record.
650 0 _aMedical informatics.
650 0 _aMedical sciences
_xStatistical methods.
650 0 _aExperimental design.
650 2 _aResearch Design.
650 2 _aStatistics as Topic.
650 7 _aMATHEMATICS
_xProbability & Statistics
_xGeneral.
_2bisacsh
650 7 _aMEDICAL
_xBiostatistics.
_2bisacsh
650 7 _aExperimental design.
_2fast
_0(OCoLC)fst00918404
650 7 _aMedical informatics.
_2fast
_0(OCoLC)fst01014175
650 7 _aMedical sciences
_xStatistical methods.
_2fast
_0(OCoLC)fst01014618
655 4 _aElectronic books.
700 1 _aKerr, Kathleen F.,
_d1970-
776 0 8 _iPrint version:
_aVan Belle, Gerald.
_tDesign and analysis of experiments in the health sciences.
_b1st ed.
_dHoboken, N.J. : Wiley, 2012
_z9780470127278
_w(DLC) 2011044306
_w(OCoLC)768417855
856 4 0 _uhttp://onlinelibrary.wiley.com/book/10.1002/9781118279724
_zWiley Online Library
942 _2ddc
_cBK
999 _c205993
_d205993