Cross-over Trials in Clinical ResearchJohn Wiley & Sons, 30 ago 2002 - 340 pagine Cross-over trials are an important class of design used in the pharmaceutical industry and medical research, and their use continues to grow. Cross-over Trials in Clinical Research, Second Edition has been fully updated to include the latest methodology used in the design and analysis of cross-over trials. It includes more background material, greater coverage of important statistical techniques, including Bayesian methods, and discussion of analysis using a number of statistical software packages. * Comprehensive coverage of the design and analysis of cross-over trials. * Each technique is carefully explained and the mathematics is kept to a minimum. * Features many real and original examples, taken from the author's vast experience. * Includes discussion of analysis using SAS, S-Plus and, GenStat, StatXact and Excel. * Written in a style suitable for statisticians and physicians alike. Primarily aimed at statisticians and researchers working in the pharmaceutical industry, the book will also appeal to physicians involved in clinical research and students of medical statistics. |
Sommario
Introduction | 1 |
Some basic considerations concerning estimation | 17 |
The ABBA design with Normal data | 35 |
Other outcomes and the ABBA design | 89 |
Normal data from designs with three or more | 157 |
1 Analysis with GenStat | 183 |
Some special designs | 205 |
Graphical and tabular presentation of crossover | 245 |
Various design issues | 261 |
Mathematical approaches to carryover | 295 |
| 323 | |
| 335 | |
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Parole e frasi comuni
AB/BA cross-over AB/BA design active treatment adjusted allocated analysis apply approach assume assumption baseline basic estimators BASICEST between-patient bioequivalence calculated Chapter clinical trials compared confidence intervals consider contrast corrected sum corresponding covariance CROS cross-over differences cross-over trials degrees of freedom discussion dose drug equal equivalent Example 3.1 expected value factor FEV1 for/sal formoterol formulation GenStat illustrate Latin square measurements median median test Normally distributed null hypothesis number of patients observations obtained pairwise means parallel group trial parameter patient effects period differences period effect placebo possible proc glm procedure random effect rank sum referred regarding regression response S-Plus sal/for salbutamol salmeterol sample score Section Senn sequence group sign test simple carry-over model standard error statistic sum of squares test for carry-over treat treatment effect treatment estimate treatment interaction treatment period variable variance w₁ wash-out period weights within-patient zero
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Riferimenti a questo libro
Modelling Survival Data in Medical Research, Second Edition David Collett Anteprima non disponibile - 2003 |
Design and Analysis of Cross-Over Trials, Second Edition Byron Jones,Michael G. Kenward Anteprima non disponibile - 2003 |