Design and Analysis of Clinical Trials with Time-to-Event Endpoints (eBook, PDF)

Redaktion: Peace, Karl E.

• Format: PDF

Produktbeschreibung

This resource provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest. Incorporating the collaborations of truly world-class statisticians, it discusses the design and monitoring of Phase II and III clinical trials with time-to-event endpoints. The book presents parametric, semiparametric, categorical, and Bayesian inferential and descriptive methods for analyzing time-to-event endpoints and covers numerous clinical trial applications, including analgesic, antibiotic, antiviral, cancer and cardiovascular prevention, optimal assignment of treatments, adverse events, and carcinogenicity.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 616
• Erscheinungstermin: 23. April 2009
• Englisch
• ISBN-13: 9781420066401
• Artikelnr.: 42766029

Autorenporträt

Karl E. Peace is Georgia Cancer Coalition Distinguished Cancer Scholar (GCCDCS), Senior Research Scientist, and Professor of Biostatistics in the Jiann-Ping Hsu College of Public Health (JPHCOPH) at Georgia Southern University. In addition to his many endowments and awards, Dr. Peace has made critical contributions to the development and approval of drugs to treat Alzheimer's disease, prevent gastrointestinal ulcers, reduce the risk of myocardial infarction, and treat anxiety/depression.

Inhaltsangabe

Overview of Time
to
Event Endpoint Methodology. Design (and Monitoring) of Clinical Trials with Time
to
Event Endpoints. Overview of Time
to
Event Parametric Methods. Overview of Semiparametric Inferential Methods for Time
to
Event Endpoints. Overview of Inferential Methods for Categorical Time
to
Event Data. Overview of Bayesian Inferential Methods Including Time
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Event Endpoints. An Efficient Alternative to the Cox Model for Small Time
to
Event Trials. Estimation and Testing for Change in Hazard for Time
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Event Endpoints. Overview of Descriptive and Graphical Methods for Time
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Event Data. Design and Analysis of Analgesic Trials. Design and Analysis of Analgesic Trials with Paired Time
to
Event Endpoints. Time
to
Event Endpoint Methods in Antibiotic Trials. Design and Analysis of Cardiovascular Prevention Trials. Design and Analysis of Antiviral Trials. Cure Rate Models with Applications to Melanoma and Prostate Cancer Data. Parametric Likelihoods for Multiple Nonfatal Competing Risks and Death, with Application to Cancer Data. Design, Summarization, Analysis, and Interpretation of Cancer Prevention Trials. LASSO Method in Variable Selection for Right
Censored Time
to
Event Data with Application to Astrocytoma Brain Tumor and Chronic Myelogenous Leukemia. Selecting Optimal Treatments Based on Predictive Factors. Application of Time
to
Event Methods in the Assessment of Safety in Clinical Trials. Design and Analysis of Chronic Carcinogenicity Studies of Pharmaceuticals in Rodents. Design and Analysis of Time
to
Tumor Response in Animal Studies: A Bayesian Perspective. Index.