Design and Analysis of Clinical ExperimentsJohn Wiley & Sons, 2011 M01 25 - 448 páginas First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random. |
Contenido
| 1 | |
CHAPTER 2 SIMPLE LINEAR REGRESSION ANALYSIS | 33 |
CHAPTER 3 THE PARALLEL GROUPS DESIGN | 46 |
CHAPTER 4 SPECIAL CASES OF THE PARALLEL GROUPS STUDY | 91 |
CHAPTER 5 BLOCKING TO CONTROL FOR PROGNOSTIC VARIABLES | 120 |
CHAPTER 6 STRATIFICATION TO CONTROL FOR PROGNOSTIC VARIABLES | 149 |
CHAPTER 7 ANALYSIS OF COVARIANCE AND THE STUDY OF CHANGE | 186 |
CHAPTER 8 REPEATED MEASUREMENTS STUDIES | 220 |
CHAPTER 10 THE CROSSOVER STUDY | 263 |
CHAPTER 11 BALANCED INCOMPLETE BLOCK DESIGNS | 291 |
CHAPTER 12 FACTORIAL EXPERIMENTS | 306 |
CHAPTER 13 SPLITPLOT DESIGNS AND CONFOUNDING | 348 |
APPENDIX SAMPLESIZE DETERMINATION | 369 |
AUTHOR INDEX | 419 |
| 423 | |
CHAPTER 9 LATIN AND GRECOLATIN SQUARES | 241 |
Otras ediciones - Ver todas
Términos y frases comunes
adrenalectomy analysis of covariance analysis of variance approximate asked in Problem Biometrics castration Cochran column confidence interval Confirm contrast correlation critical value crossover study D₁ data in Table data under analysis defined degrees of freedom denote difference effect of castration equation estimated standard error estimated variance examiners example experimental F distribution F ratio factor factorial combinations factorial effects factorial study Fleiss formula inferences Latin square linear main effect measurements multiple comparison n₁ normally distributed number of degrees overall p₁ pairs permutation pooled variance proportion randomized blocks randomly raters regression reliability study replicate residual mean square residual sum response variable ridit sample sizes se(C Section significance level Source of Variation squares for treatments standard deviation statistically significant subjects sum of squares T₁ Table A.7 test statistic three-way interaction treatment groups underlying variance table Variation df SS X₁ zero ΣΧ