Binary Data Analysis of Randomized Clinical Trials with Noncompliance
Aus der Reihe
Statistics in Practice
-
Form:Einzelkauf Download
-
Sprache:Englisch
-
eBook Format:PDF
- PDF 89,99 € ausgewählt
- ePUB 89,99 €
89,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
10.03.2011
Verlag
For DummiesSeitenzahl
336 (Printausgabe)
Dateigröße
3116 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781119991601
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.
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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice