Binary Data Analysis of Randomized Clinical Trials with Noncompliance

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9780470660959: Binary Data Analysis of Randomized Clinical Trials with Noncompliance

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

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)

"Sobre este título" puede pertenecer a otra edición de este libro.

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Lui, Kung-Jong
Editorial: Wiley (2011)
ISBN 10: 0470660953 ISBN 13: 9780470660959
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Descripción Wiley, 2011. Hardcover. Estado de conservación: New. ABSOLUTELY BRAND NEW IN SHRINKWRAP!! SHIPS WITHIN 24 HOURS! Tracking Provided. DHL processing & USPS delivery for an average of 3-5 Day Standard & 2-3 Day Expedited! FREE INSURANCE! Fast & Personal Support! Careful Packaging. No Hassle, Full Refund Return Policy!. Nº de ref. de la librería mon0000644327

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Kung-Jong Lui
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ISBN 10: 0470660953 ISBN 13: 9780470660959
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Descripción John Wiley and Sons Ltd, United States, 2011. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780470660959

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Kung-Jong Lui
Editorial: John Wiley and Sons Ltd, United States (2011)
ISBN 10: 0470660953 ISBN 13: 9780470660959
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Descripción John Wiley and Sons Ltd, United States, 2011. Hardback. Estado de conservación: New. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780470660959

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ISBN 10: 0470660953 ISBN 13: 9780470660959
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Descripción Wileyand#8211;Blackwell, 2011. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470660959

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Kung-Jong Lui
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Descripción John Wiley and Sons Ltd. Hardback. Estado de conservación: new. BRAND NEW, Binary Data Analysis of Randomized Clinical Trials with Noncompliance, Kung-Jong Lui, 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. Nº de ref. de la librería B9780470660959

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Descripción John Wiley and Sons. Estado de conservación: New. Brand New. Nº de ref. de la librería 0470660953

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Descripción Wiley, 2011. Hardcover. Estado de conservación: New. 1. Nº de ref. de la librería DADAX0470660953

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Descripción Wiley, 2011. Hardcover. Estado de conservación: New. book. Nº de ref. de la librería 0470660953

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Descripción Hardcover. Estado de conservación: BRAND NEW. BRAND NEW. Fast Shipping. Prompt Customer Service. Satisfaction guaranteed. Nº de ref. de la librería 0470660953BNA

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Descripción 2011. Hardback. Estado de conservación: NEW. 9780470660959 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0778502

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