LEADER 05546nam 2200709Ia 450 001 9910141261903321 005 20230801223249.0 010 $a1-280-76813-4 010 $a9786613678904 010 $a1-118-27971-9 010 $a1-118-27972-7 010 $a1-118-27969-7 035 $a(CKB)2670000000205432 035 $a(EBL)836592 035 $a(OCoLC)796796332 035 $a(SSID)ssj0000677229 035 $a(PQKBManifestationID)11446001 035 $a(PQKBTitleCode)TC0000677229 035 $a(PQKBWorkID)10693278 035 $a(PQKB)10440920 035 $a(MiAaPQ)EBC836592 035 $a(Au-PeEL)EBL836592 035 $a(CaPaEBR)ebr10570760 035 $a(CaONFJC)MIL367890 035 $a(EXLCZ)992670000000205432 100 $a20111119d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDesign and analysis of experiments in the health sciences$b[electronic resource] /$fGerald van Belle, Kathleen F. Kerr 205 $a1st ed. 210 $aHoboken, N.J. $cWiley$d2012 215 $a1 online resource (247 p.) 300 $aDescription based upon print version of record. 311 $a0-470-12727-9 320 $aIncludes bibliographical references and index. 327 $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 327 $a1.10.3 Confirmatory and Exploratory Analysis1.10.4 Missing Data Need Careful Accounting; 1.10.5 Statistical Software; 1.11 Notes; 1.11.1 Characterization Studies; 1.11.2 Additional Comments on Balance; 1.11.3 Linear and Nonlinear Models; 1.11.4 Analysis of Variance Versus Regression Analysis; 1.12 Summary; 1.13 Problems; 2 Completely Randomized Designs; 2.1 Randomization; 2.2 Hypotheses and Sample Size; 2.3 Estimation and Analysis; 2.4 Example; 2.5 Discussion and Extensions; 2.5.1 Preparing Data for Computer Analysis; 2.5.2 Treatment Assignment in this Example; 2.5.3 Check on Randomization 327 $a2.5.4 Partitioning the Treatment Sum of Squares2.5.5 Alternative Endpoints; 2.5.6 Dummy Variables; 2.5.7 Contrasts; 2.6 Randomization; 2.7 Hypotheses and Sample Size; 2.8 Estimation and Analysis; 2.9 Example; 2.10 Discussion and Extensions; 2.10.1 Two Roles for ANCOVA; 2.10.2 Partitioning of Sums of Squares; 2.10.3 Assumption of Parallelism; 2.11 Notes; 2.11.1 Constrained Randomization; 2.11.2 Assumptions of the Analysis of Variance and Covariance; 2.11.3 When the Assumptions Don't Hold; 2.11.4 Alternative Graphical Displays; 2.11.5 Sample Sizes for More Than Two Levels 327 $a2.11.6 Limitations of Computer Output2.11.7 Unequal Sample Sizes; 2.11.8 Design Implications of the CRD; 2.11.9 Power and Alternative Hypotheses; 2.11.10 Regression or Analysis of Variance?; 2.11.11 Bioassay; 2.12 Summary; 2.13 Problems; 3 Randomized Block Designs; 3.1 Randomization; 3.2 Hypotheses and Sample Size; 3.3 Estimation and Analysis; 3.4 Example; 3.5 Discussion and Extensions; 3.5.1 Evaluating Model Assumptions; 3.5.2 Multiple Comparisons; 3.5.3 Number of Treatments and Block Size; 3.5.4 Missing Data; 3.5.5 Does It Always Pay to Block?; 3.5.6 Concomitant Variables; 3.5.7 Imbalance 327 $a3.6 Randomization3.7 Hypotheses and Sample Size; 3.8 Estimation and Analysis; 3.9 Example; 3.10 Discussion and Extensions; 3.10.1 Implications of the Model; 3.10.2 Number of Latin Squares; 3.11 Randomization; 3.12 Hypotheses and Sample Size; 3.13 Estimation and Analysis; 3.14 Example; 3.15 Discussion and Extensions; 3.15.1 Partially Balanced Incomplete Block Designs; 3.16 Notes; 3.16.1 Analysis Follows Design; 3.16.2 Relative Efficiency; 3.16.3 Additivity of the Model; 3.17 Summary; 3.18 Problems; 4 Factorial Designs; 4.1 Randomization; 4.2 Hypotheses and Sample Size 327 $a4.3 Estimation and Analysis 330 $a An accessible and practical approach to the design and analysis of experiments in the health sciences Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasizes new research areas, the crucial topic of clinical trials, and state-of-the- art applications. Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments whil 606 $aExperimental design 606 $aMedical informatics 606 $aMedical sciences$xStatistical methods 615 0$aExperimental design. 615 0$aMedical informatics. 615 0$aMedical sciences$xStatistical methods. 676 $a610.72/7 686 $aMAT029000$2bisacsh 700 $aVan Belle$b Gerald$0266785 701 $aKerr$b Kathleen F.$f1970-$0951145 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141261903321 996 $aDesign and analysis of experiments in the health sciences$92150195 997 $aUNINA