Crossover Designs : Testing, Estimation, and Sample Size /: Testing, Estimation, and Sample Size. (2016)

• Record Type: Book
• Further Information: Note: Kung-Jong Lui.
• Authors: Lui, Kung-Jong
• Contents: About the author Preface About the Companion Website Chapter 1 Crossover Design – Definitions, Notes and Limitations 1.1 Unsuitable for Acute or Most Infectious Diseases 1.2 Inappropriate for Treatments with Long-Lasting Effects 1.3 Loss of Efficiency in the Presence of Carry-Over Effects 1.4 Concerns of Treatment-by-Period Interaction 1.5 Flaw of the Commonly-used Two-Stage Test Procedure 1.6 Higher Risk of Dropping out or Being Lost to Follow-Up 1.7 More Assumptions Needed in Use of a Crossover Design 1.8 General Principle and Conditional Approach Used in the Book Chapter 2 AB/BA Design in Continuous Data 2.1 Testing Non-Equality of Treatments 2.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 2.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 2.4 Interval Estimation of the Mean Difference 2.5 Sample Size Determination 2.5.1 Sample size for testing non-equality 2.5.2 Sample size for testing non-inferiority 2.5.3 Sample size for testing equivalence 2.6 Hypothesis Testing and Estimation for the Period Effect 2.7 Estimation of the Relative Treatment Effect in the Presence of Differential Carryover Effects 2.8 Examples of SAS Programs and Results Exercises Chapter 3 AB/BA Design in Dichotomous Data 3.1 Testing Non-Equality of Treatments 3.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 3.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 3.4 Interval Estimation of the Odds Ratio 3.5 Sample Size Determination 3.5.1 Sample size for testing non-equality 3.5.2 Sample size for testing non-inferiority 3.5.3 Sample size for testing equivalence 3.6 Hypothesis Testing and Estimation for the Period Effect 3.7 Testing and Estimation for Carryover Effects 3.8 SAS Program Codes and Likelihood-Based Approach Exercises Chapter 4 AB/BA Design in Ordinal Data 4.1 Testing Non-Equality of Treatments 4.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 4.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 4.4 Interval Estimation of the Generalized Odds Ratio 4.5 Sample Size Determination 4.5.1 Sample size for testing non-equality 4.5.2 Sample size for testing non-inferiority 4.5.3 Sample size for testing equivalence 4.6 Hypothesis Testing and Estimation for the Period Effect 4.7 SAS Program Codes for the Proportional Odds Model with Normal Random Effects Exercises Chapter 5 AB/BA Design in Frequency Data 5.1 Testing Non-Equality of Treatments 5.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 5.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 5.4 Interval Estimation of the Ratio of Mean Frequencies 5.5 Sample Size Determination 5.5.1 Sample size for testing non-equality 5.5.2 Sample size for testing non-inferiority 5.5.3 Sample size for testing equivalence 5.6 Hypothesis Testing and Estimation for the Period Effect 5.7 Estimation of the Relative Treatment Effect in the Presence of Differential Carryover Effects Exercises Chapter 6 Three-Treatment Three-Period Crossover Design in Continuous Data 6.1 Testing Non-Equality between Treatments and Placebo 6.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 6.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 6.4 Interval Estimation of the Mean Difference 6.5 Hypothesis Testing and Estimation for Period Effects 6.6 Procedures for Testing Treatment-by-Period Interactions 6.7 SAS Program Codes and Results for Constant Variance Exercises Chapter 7 Three-Treatment Three-Period Crossover Design in Dichotomous Data 7.1 Testing Non-Equality of Treatment Effects 7.1.1 Asymptotic test procedures 7.1.2 Exact test procedures 7.1.3 Procedures for simultaneously testing non-equality of two experimental treatments versus a placebo 7.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 7.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 7.4 Interval Estimation of the Odds Ratio 7.5 Hypothesis Testing and Estimation for Period Effects 7.6 Procedures for Testing Treatment-by-Period Interactions 7.7 SAS Program Codes and Results for a Logistic Regression Model with Normal Random Effects Exercises Chapter 8 Three-Treatment Three-Period Crossover Design in Ordinal Data 8.1 Testing Non-Equality between Treatments and Placebo 8.1.1 Asymptotic test procedures 8.1.2 Exact test procedures 8.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 8.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 8.4 Interval Estimation of the Generalized Odds Ratio 8.5 Hypothesis Testing and Estimation for Period Effects 8.6 Procedures for Testing Treatment-by-Period Interactions 8.7 SAS Program Codes and Results for the Proportional Odds Model with Normal Random Effects Exercises Chapter 9 Three-Treatment Three-Period Crossover Design in Frequency Data 9.1 Testing Non-Equality between Treatments and Placebo 9.2 Testing Non-Inferiority of an Experimental Treatment to an Active Control Treatment 9.3 Testing Equivalence between an Experimental Treatment and an Active Control Treatment 9.4 Interval Estimation of the Ratio of Mean Frequencies 9.5 Hypothesis Testing and Estimation for Period Effects 9.6 Procedures for Testing Treatment-by-Period Interactions Exercises Chapter 10 Three-Treatment (Incomplete Block) Crossover Design in Continuous and Dichotomous Data 10.1 Continuous Data 10.1.1 Testing non-equality of treatments 10.1.2 Testing non-equality between experimental treatments (or non-nullity of dose effects) 10.1.3 Interval estimation of the mean difference 10.1.4 SAS codes for fixed effects and mixed effects models 10.2 Dichotomous Data 10.2.1 Testing non-equality of treatments 10.2.2 Testing non-equality between experimental treatments (or non-nullity of dose effects) 10.2.3 Testing non-inferiority of either experimental treatment to an active control treatment 10.2.4 Interval estimation of the odds ratio 10.2.5 SAS codes for the likelihood-based approach Exercises Index References
• Edition: 1st
• Publisher Details: Wiley
• Publication Date: 2016
• Extent: 1 online resource (248 pages)
• Subjects: 610.727
• Languages: English
• ISBNs: 9781119114703
• 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.