Design and analysis of cross-over trials. (2014)

• Record Type: Book
• Further Information: Note: Byron Jones and Michael G. Kenward.
• Authors: Jones, Byron, 1951-; Kenward, Michael G, 1956-
• Contents: List of Figures List of Tables Preface to the Third Edition Introduction What Is a Cross-Over Trial? With Which Sort of Cross-Over Trial Are We Concerned? Why Do Cross-Over Trials Need Special Consideration? A Brief History Notation, Models, and Analysis Aims of This Book Structure of the Book The 2×2 Cross-Over Trial Introduction Plotting the Data Analysis Using T-Tests Sample Size Calculations Analysis of Variance Aliasing of Effects Consequences of Preliminary Testing Analyzing the Residuals A Bayesian Analysis of the 2×2 Trial Bayes Using Approximations Bayes Using Gibbs Sampling Use of Baseline Measurements Use of Covariates Nonparametric Analysis Testing λ1 =λ2 Testing t1 =t2, Given that λ1 =λ2 Testing π1 =π2, Given that λ1 =λ2 Obtaining the Exact Version of the Wilcoxon Ranksum Test Using Tables Point Estimate and Confidence Interval for Δ =t1 −t2 A More General Approach to Nonparametric Testing Nonparametric Analysis of Ordinal Data Analysis of a Multicenter Trial Tests Based on Nonparametric Measures of Association Binary Data Introduction McNemar’s Test The Mainland–Gart Test Fisher’s Exact Version of the Mainland–Gart Test Prescott’s Test Higher-Order Designs for Two Treatments Introduction "Optimal" Designs Balaam’s Design for Two Treatments Effect of Preliminary Testing in Balaam’s Design Three-Period Designs with Two Sequences Three-Period Designs with Four Sequences A Three-Period Six-Sequence Design Which Three-Period Design to Use? Four-Period Designs with Two Sequences Four-Period Designs with Four Sequences Four-Period Designs with Six Sequences Which Four-Period Design to Use? Which Two-Treatment Design to Use? Designing Cross-Over Trials Introduction Variance-Balanced Designs Designs with p = t Designs with p < t Designs with p > t Designs with Many Periods Optimality Results for Cross-Over Designs Which Variance-Balanced Design to Use? Partially Balanced Designs Comparing Test Treatments to a Control Factorial Treatment Combinations Extending the Simple Model for Carry-Over Effects Computer Search Algorithms Analysis of Continuous Data Introduction Example: INNOVO Trial: Dose–Response Study Fixed Subject Effects Model Ignoring the Baseline Measurements Adjusting for Carry-Over Effects Random Subject Effects Model Random Subject Effects Recovery of Between-Subject Information Small Sample Inference with Random Effects Missing Values Use of Baseline Measurements Introduction and Examples Notation and Basic Results Pre-Randomization Covariates Period-Dependent Baseline Covariates Baselines as Response Variables Incomplete Data Analyses for Higher-Order Two-Treatment Designs Analysis for Balaam’s Design General Linear Mixed Model Analysis of Repeated Measurements within Periods Example: Insulin Mixtures Cross-Over Data as Repeated Measurements Allowing More General Covariance Structures Robust Analyses for Two-Treatment Designs Higher-Order Designs Case Study: An Analysis of a Trial with Many Periods Example: McNulty’s Experiment McNulty’s Analysis Fixed Effects Analysis Random Subject Effects and Covariance Structure Modeling the Period Effects Analysis of Discrete Data Introduction Modeling Dependent Categorical Data Types of Model Binary Data: Subject Effect Models Dealing with the Subject Effects Conditional Likelihood Binary Data: Marginal Models Marginal Model Categorical Data Example: Trial on Patients with Primary Dysmenorrhea Types of Model for Categorical Outcomes Subject Effects Models Marginal Models Further Topics Count Data Time to Event Data Issues Associated with Scale Bioequivalence Trials What Is Bioequivalence? Testing for Average Bioequivalence Case Study: Phase I Dose–Response Noninferiority Trial Introduction Model for Dose Response Testing for Noninferiority Choosing Doses for the Fifth Period Analysis of the Design Post-Interim Case Study: Choosing a Dose–Response Model Introduction Analysis of Variance Dose–Response Modeling Case Study: Conditional Power Introduction Variance Spending Approach Interim Analysis of Sleep Trial Case Study: Proof of Concept Trial with Sample Size Re-Estimation Introduction Calculating the Sample Size Interim Analysis Data Analysis Case Study: Blinded Sample Size Re-Estimation in a Bioequivalence Study Introduction Blinded Sample Size Re-Estimation (BSSR) Example Case Study: Unblinded Sample Size Re-Estimation in a Bioequivalence Study That Has a Group Sequential Design Introduction Sample Size Re-Estimation in a Group Sequential Design Modification of Sample Size Re-Estimation in a Group Sequential Design Case Study: Various Methods for an Unblinded Sample Size Re-Estimation in a Bioequivalence Study Introduction Methods Example Appendix A: Least Squares Estimation Case 1 Case 2 Case 3 Bibliography Index
• Edition: Third edition
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2014
• Extent: 1 online resource, illustrations
• Subjects: 615.7; Crossover trials; Drugs -- Testing
• Languages: English
• ISBNs: 9781439861431
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.