Repeated measurements and cross-over designs /

• Κύριος συγγραφέας: Raghavarao, Damaraju
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Hoboken, New Jersey : Wiley, [2014]
• Θέματα: Measure theory.; Statistics > Longtitudinal method.; MATHEMATICS > Applied.; MATHEMATICS > Probability & Statistics > General.; Crossover trials.; Experimental design.; Longitudinal method.; Electronic books.

An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Repeated Measurements and Cross-Over Designs: Features the close tie between the design, analysis, and presentation of resultsPresents principles and...

Πίνακας περιεχομένων:

• Repeated Measurements and Cross-Over Designs; Copyright; Contents; Preface; 1. Introduction; 1.1 INTRODUCTION; 1.2 ONE-SAMPLE RMD; 1.3 k-SAMPLE RMD; 1.4 SPLIT-PLOT DESIGNS; 1.5 GROWTH CURVES; 1.6 CROSS-OVER DESIGNS; 1.7 TWO-PERIOD CROSS-OVER DESIGNS; 1.8 MODIFICATIONS IN CROSS-OVER DESIGNS; 1.9 NONPARAMETRIC METHODS; REFERENCES; 2 One-Sample Repeated Measurement Designs; 2.1 INTRODUCTION; 2.2 TESTING FOR SPHERICITY CONDITION; 2.3 UNIVARIATE ANOVA FOR ONE-SAMPLE RMD; 2.4 MULTIVARIATE METHODS FORONE-SAMPLE RMD; 2.5 UNIVARIATE ANOVA UNDERNONSPHERICITY CONDITION; 2.6 NUMERICAL EXAMPLE.
• 2.7 CONCORDANCE CORRELATION COEFFICIENT2.8 MULTIRESPONSE CONCORDANCECORRELATION COEFFICIENT; 2.9 REPEATED MEASUREMENTS WITH BINARYRESPONSE; REFERENCES; 3 k-Sample Repeated Measurements Design; 3.1 INTRODUCTION; 3.2 TEST FOR THE EQUALITY OF DISPERSIONMATRICES AND SPHERICITY CONDITIONOF k-DISPERSION MATRICES; 3.3 UNIVARIATE ANOVA FOR k-SAMPLE RMD; 3.4 MULTIVARIATE METHODS FORk-SAMPLE RMD; 3.5 NUMERICAL EXAMPLE; 3.6 MULTIVARIATE METHODS WITH UNEQUALDISPERSION MATRICES; 3.7 ANALYSIS WITH ORDERED CATEGORICALRESPONSE; REFERENCES; 4 Growth Curve Models; 4.1 INTRODUCTION; 4.2 SIGMOIDAL CURVES.
• 4.3 ANALYSIS OF MIXED MODELS4.4 SIMPLE LINEAR GROWTH CURVE MODEL; 4.5 NONLINEAR GROWTH CURVE MODEL; 4.6 NUMERICAL EXAMPLE; 4.7 JOINT ACTION MODELS; REFERENCES; 5 Cross-Over Designs without Residual Effects; 5.1 INTRODUCTION; 5.2 FIXED EFFECTS ANALYSIS OF CODWOR; 5.3 CONNECTEDNESS IN CODWOR; 5.4 ORTHOGONALITY IN CODWOR; 5.5 LATIN SQUARE DESIGNS; 5.6 YOUDEN SQUARE DESIGN ANDGENERALIZATION; 5.7 F-SQUARES; 5.8 LATTICE SQUARE DESIGNS; 5.9 ANALYSIS OF CODWOR WHEN THE UNITSEFFECTS ARE RANDOM; 5.10 NUMERICAL EXAMPLE; 5.11 ORTHOGONAL LATIN SQUARES; REFERENCES.
• 6 Cross-Over Designs with Residual Effects6.1 INTRODUCTION; 6.2 ANALYSIS OF CODWR; 6.3 BRED; 6.4 PBCOD (m); 6.5 NUMERICAL EXAMPLE; 6.6 ANALYSIS WITH UNIT (OR SUBJECT)EFFECTS RANDOM; 6.7 CONCLUDING REMARKS; REFERENCES; 7 Two-Period Cross-Over Designs with Residual Effects; 7.1 INTRODUCTION; 7.2 TWO-PERIOD, TWO-TREATMENT CODWRANALYSIS: PARAMETRIC METHODS; 7.2.1 Analysis of the design based on themodel (7.2.9); 7.2.2 Decomposition of the model (7.2.9)into intra- and interunit components; 7.2.3 Estimating direct effects contrast usingcross-over nature of the treatments.
• 7.2.4 Modified two-period, two-treatment design7.2.5 Cost analysis; 7.3 TWO-PERIOD, TWO-TREATMENT CODWRANALYSIS: NONPARAMETRIC METHODS; 7.4 TWO-PERIOD t TREATMENTCROSS-OVER DESIGN; 7.5 NUMERICAL EXAMPLES; REFERENCES; 8 Other Cross-Over Designs with Residual Effects; 8.1 INTRODUCTION; 8.2 EXTRA-PERIOD DESIGNS; 8.2.1 Residual effect of a treatment effect on itselfis the same as residual effect on other treatments; 8.2.2 Residual effect of a treatment on itselfis different from the residual effect on othertreatments; 8.3 RESIDUAL EFFECTS PROPORTIONALTO DIRECT EFFECTS; 8.4 UNDIMINISHED RESIDUAL EFFECTS DESIGNS.