Items related to Binary Data Analysis of Randomized Clinical Trials...
Synopsis
It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy.
This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent Bernoulli sampling for repeated measurements. The author provides a comprehensive approach by using contingency tables to illustrate the latent probability structure of observed data. Using real-life examples, computer-simulated data and exercises in each chapter, the book illustrates the underlying theory in an accessible, and easy to understand way.
Key features:
- Consort-flow diagrams and numerical examples are used to illustrate the bias of commonly used approaches, such as, AT analysis, AP analysis and ITT analysis for a RCT with noncompliance.
- Real-life examples are used throughout the book to explain the practical usefulness of test procedures and estimators.
- Each chapter is self-contained, allowing the book to be used as a reference source.
- Includes SAS programs which can be easily modified in calculating the required sample size.
Biostatisticians, clinicians, researchers and data analysts working in pharmaceutical industries will benefit from this book. This text can also be used as supplemental material for a course focusing on clinical statistics or experimental trials in epidemiology, psychology and sociology.
"synopsis" may belong to another edition of this title.
About the Author
Kung-Jong Lui, Department of Mathematics and Statistics, San Diego State University, USA.
Review
"The book would be well-suited as a reference for biostatisticians, clinicians, researchers, and data analysts - and it would be useful as supplemental reading for academic courses in a variety of related fields." (Book News, 1 August 2011)
"About this title" may belong to another edition of this title.
- PublisherWiley
- Publication date2011
- ISBN 10 0470660953
- ISBN 13 9780470660959
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages330
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Binary Data Analysis of Randomized Clinical Trials With Noncompliance
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Binary Data Analysis of Randomized Clinical Trials with Noncompliance (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2011
ISBN 10: 0470660953
ISBN 13: 9780470660959
New
Hardcover
First Edition
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy. This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent Bernoulli sampling for repeated measurements. The author provides a comprehensive approach by using contingency tables to illustrate the latent probability structure of observed data. Using real-life examples, computer-simulated data and exercises in each chapter, the book illustrates the underlying theory in an accessible, and easy to understand way. Key features: Consort-flow diagrams and numerical examples are used to illustrate the bias of commonly used approaches, such as, AT analysis, AP analysis and ITT analysis for a RCT with noncompliance.Real-life examples are used throughout the book to explain the practical usefulness of test procedures and estimators.Each chapter is self-contained, allowing the book to be used as a reference source.Includes SAS programs which can be easily modified in calculating the required sample size. Biostatisticians, clinicians, researchers and data analysts working in pharmaceutical industries will benefit from this book. This text can also be used as supplemental material for a course focusing on clinical statistics or experimental trials in epidemiology, psychology and sociology. This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780470660959
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Binary Data Analysis of Randomized Clinical Trials With Noncompliance
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Binary Data Analysis of Randomized Clinical Trials with Noncompliance
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Condition: New. This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Series: Statistics in Practice. Num Pages: 330 pages, Illustrations. BIC Classification: MBGR1; MBNS; PB. Category: (P) Professional & Vocational. Dimension: 233 x 162 x 24. Weight in Grams: 624. . 2011. . . . . Seller Inventory # V9780470660959
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Binary Data Analysis of Randomized Clinical Trials With Noncompliance
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Binary Data Analysis of Randomized Clinical Trials with Noncompliance
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Condition: New. This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Series: Statistics in Practice. Num Pages: 330 pages, Illustrations. BIC Classification: MBGR1; MBNS; PB. Category: (P) Professional & Vocational. Dimension: 233 x 162 x 24. Weight in Grams: 624. . 2011. . . . . Books ship from the US and Ireland. Seller Inventory # V9780470660959
Quantity: 15 available
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Binary Data Analysis of Randomized Clinical Trials with Noncompliance (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2011
ISBN 10: 0470660953
ISBN 13: 9780470660959
New
Hardcover
First Edition
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. It is quite common in a randomized clinical trial (RCT) to encounter patients who do not comply with their assigned treatment. Since noncompliance often occurs non-randomly, the commonly-used approaches, including both the as-treated (AT) and as-protocol (AP) analysis, and the intent-to-treat (ITT) (or as-randomized) analysis, are all well known to possibly produce a biased inference of the treatment efficacy. This book provides a systematic and organized approach to analyzing data for RCTs with noncompliance under the most frequently-encountered situations. These include parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent Bernoulli sampling for repeated measurements. The author provides a comprehensive approach by using contingency tables to illustrate the latent probability structure of observed data. Using real-life examples, computer-simulated data and exercises in each chapter, the book illustrates the underlying theory in an accessible, and easy to understand way. Key features: Consort-flow diagrams and numerical examples are used to illustrate the bias of commonly used approaches, such as, AT analysis, AP analysis and ITT analysis for a RCT with noncompliance.Real-life examples are used throughout the book to explain the practical usefulness of test procedures and estimators.Each chapter is self-contained, allowing the book to be used as a reference source.Includes SAS programs which can be easily modified in calculating the required sample size. Biostatisticians, clinicians, researchers and data analysts working in pharmaceutical industries will benefit from this book. This text can also be used as supplemental material for a course focusing on clinical statistics or experimental trials in epidemiology, psychology and sociology. This book provides a systematic and organized approach to analyzing data for a RCT with noncompliance under the most frequently-encountered situations, including parallel sampling, stratified sampling, cluster sampling, parallel sampling with subsequent missing outcomes, and a series of dependent binomial sampling for repeated measurements. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470660959
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Binary Data Analysis of Randomized Clinical Trials with Noncompliance
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Gebunden. Condition: New. The book would be well-suited as a reference for biostatisticians, clinicians, researchers, and data analysts - and it would be useful as supplemental reading for academic courses in a variety of related fields. (Book News, 1 August 2011)It is quite c. Seller Inventory # 556557158
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